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46th SIGIR 2023: Taipei, Taiwan
- Hsin-Hsi Chen, Wei-Jou (Edward) Duh, Hen-Hsen Huang, Makoto P. Kato, Josiane Mothe, Barbara Poblete:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023. ACM 2023, ISBN 978-1-4503-9408-6
Keynote Talks
- Marc Najork
:
Generative Information Retrieval. 1 - Chih-Jen Lin
On the "Rough Use" of Machine Learning Techniques. 2 - Ranjitha Kumar
Bridging Quantitative and Qualitative Digital Experience Testing. 3-4 - Ryen W. White
Tasks, Copilots, and the Future of Search. 5-6
Session 1 - Unbiased and Fairness
- Huachi Zhou
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. 7-17 - Fatemeh Sarvi
On the Impact of Outlier Bias on User Clicks. 18-27 - Mengyue Yang
Rectifying Unfairness in Recommendation Feedback Loop. 28-37 - Tingting Liang
Contrastive Box Embedding for Collaborative Reasoning. 38-47 - Andrés Hoyos Idrobo
Learning to Re-rank with Constrained Meta-Optimal Transport. 48-57
Session 2 - Sequential Recommendation - Part 1
- Hanwen Du
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. 58-67 - Kibum Kim
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. 68-77 - Xinyu Du
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. 78-88 - Xiuyuan Qin
Meta-optimized Contrastive Learning for Sequential Recommendation. 89-98 - Chengkai Huang
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. 99-109
Session 3 - Dense Retrieval
- Alireza Salemi
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering. 110-120 - Hansi Zeng
A Personalized Dense Retrieval Framework for Unified Information Access. 121-130 - Haitao Li
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. 131-140 - Wei Zhong
One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search. 141-151 - Hrishikesh Kulkarni
Lexically-Accelerated Dense Retrieval. 152-162 - Hamed Zamani
Multivariate Representation Learning for Information Retrieval. 163-173
Session 4 - Language Models
- Yunhu Ye
Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. 174-184 - Ruixue Ding
MGeo: Multi-Modal Geographic Language Model Pre-Training. 185-194 - Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie:
Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. 195-204 - Fang Guo
SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. 205-215 - Na Li
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. 216-226 - Zizhuo Zhang
Prompt Learning for News Recommendation. 227-237
Session 5 - Exposure and Popularity Bias
- Chongming Gao
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. 238-248 - Shashank Gupta
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. 249-258 - Shicheng Wang
HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. 259-268 - Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang:
Measuring Item Global Residual Value for Fair Recommendation. 269-278
Session 6 - Sequential Recommendation - Part 2
- Rui Zhou
Distributionally Robust Sequential Recommnedation. 279-288 - Langming Liu
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. 289-299 - Yanling Wang
Poisoning Self-supervised Learning Based Sequential Recommendations. 300-310 - Zuoli Tang
Towards Multi-Interest Pre-training with Sparse Capsule Network. 311-320 - Yaowen Ye
Graph Masked Autoencoder for Sequential Recommendation. 321-330 - Zhengyi Yang
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. 331-340
Session 7 - Knowledge Graphs for Recommendation
- Yejing Wang
Single-shot Feature Selection for Multi-task Recommendations. 341-351 - Qian Chen
Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation. 352-361 - Xinjun Zhu
Knowledge-refined Denoising Network for Robust Recommendation. 362-371 - Jihu Wang
Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. 372-382
Session 8 - POI Recommendation
- Xinfeng Wang
EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation. 383-392 - Zhaobo Wang
Adaptive Graph Representation Learning for Next POI Recommendation. 393-402 - Xiaodong Yan
Spatio-Temporal Hypergraph Learning for Next POI Recommendation. 403-412 - Xiao Zhang
Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. 413-422 - Jing Long
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. 423-432
Session 9 - Music, video, Social Media
- Yu Shang
Learning Fine-grained User Interests for Micro-video Recommendation. 433-442 - Jinghao Zhang
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. 443-452 - Jiahao Xun
DisCover: Disentangled Music Representation Learning for Cover Song Identification. 453-463 - Walid Bendada
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services. 464-474 - Seong-Min Kang
MEME: Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval. 475-484 - Yuhan Liu
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. 485-495
Session 10 - Sparsity Problem
- Jingcao Xu
Multi-behavior Self-supervised Learning for Recommendation. 496-505 - Zhihao Wen
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. 506-516 - Yu Tian
Multi-Scenario Ranking with Adaptive Feature Learning. 517-526 - Heeyoon Yang
LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup. 527-536 - Naoto Ohsaka
Curse of "Low" Dimensionality in Recommender Systems. 537-547 - Liangcai Su
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. 548-557
Session 11 - Evaluation
- Romain Deffayet
An Offline Metric for the Debiasedness of Click Models. 558-568 - Jiabang He
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models. 569-579 - Harrisen Scells
Smooth Operators for Effective Systematic Review Queries. 580-590
Session 12 - Knowledge Graphs - Part 1
- Jingyun Xu
Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition. 591-600 - Peiyan Zhang
Continual Learning on Dynamic Graphs via Parameter Isolation. 601-611 - Ye Yuan
Subgraph Search over Neural-Symbolic Graphs. 612-621 - Jiasheng Zhang
StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios. 622-631
Session 13 - Conversational Search and Recommendation
- Paul Owoicho
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond. 632-642 - Philipp Christmann
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks. 643-653 - Sen Zhao
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation. 654-664
Session 14 - Efficiency
- Washington Cunha
An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification. 665-674 - Qiang He
EDIndex: Enabling Fast Data Queries in Edge Storage Systems. 675-685 - Rong-Cheng Tu
Data-Aware Proxy Hashing for Cross-modal Retrieval. 686-696 - Khoa D. Doan
Asymmetric Hashing for Fast Ranking via Neural Network Measures. 697-707 - Yunke Qu
Continuous Input Embedding Size Search For Recommender Systems. 708-717
Session 15 - Crowdsourced and Annotation
- Nirmal Roy
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments. 718-728 - Dan Li
Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing Labels. 729-738 - Zhe Fu
Wisdom of Crowds and Fine-Grained Learning for Serendipity Recommendations. 739-748 - Shucheng Li
Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English. 749-759 - Siddhant Kharbanda
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. 760-769
Session 16 - Question Answering
- Qin Yuan
An Effective Framework for Enhancing Query Answering in a Heterogeneous Data Lake. 770-780 - Farah Atif
BeamQA: Multi-hop Knowledge Graph Question Answering with Sequence-to-Sequence Prediction and Beam Search. 781-790 - Wei Peng
Leader-Generator Net: Dividing Skill and Implicitness for Conquering FairytaleQA. 791-801
Session 17 - Temporal & Dynamic - Part 1
- Susik Yoon
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. 802-811 - Jiexin Wang
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. 812-821 - Ziwei Zhao
Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. 822-831 - Wenjie Wang
Diffusion Recommender Model. 832-841 - Mingchen Li
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. 842-851
Session 18 - Knowledge Graphs - Part 2
- Zhao Zhang
Weighted Knowledge Graph Embedding. 867-877 - Bin Shang
Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. 878-888 - Zhongwu Chen
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. 889-899 - Linhao Luo
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. 900-910 - Yunzhi Yao
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. 911-921
Session 19 - Implicit Feedback and Sessions
- Zhaochun Ren
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. 922-931 - Xin Xin
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. 932-941 - Yushun Dong
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? 942-952 - Shengjie Ma
Session Search with Pre-trained Graph Classification Model. 953-962 - Wei Tang
Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space. 963-972
Session 20 - Personalized Models
- Ning Pang
Personalized Federated Relation Classification over Heterogeneous Texts. 973-982 - Weibo Gao
Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. 983-992 - Sheshera Mysore
Editable User Profiles for Controllable Text Recommendations. 993-1003 - Jiayu Li
Intent-aware Ranking Ensemble for Personalized Recommendation. 1004-1013 - Hemanth Vemuri
Personalized Retrieval over Millions of Items. 1014-1022
Session 21 - Legal, Medicine & Health
- Yifei Liu
ML-LJP: Multi-Law Aware Legal Judgment Prediction. 1023-1034 - Haitao Li
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval. 1035-1044 - Silvia Casola
Creating a Silver Standard for Patent Simplification. 1045-1055 - Anat Hashavit
Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. 1056-1065 - Runcong Zhao
Cone: Unsupervised Contrastive Opinion Extraction. 1066-1075
Session 22 - Collaborative Filtering
- Guanghui Zhu
AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering. 1076-1085 - Jiahao Liu
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. 1086-1095 - Jeongwhan Choi
Blurring-Sharpening Process Models for Collaborative Filtering. 1096-1106 - Tianjun Wei
Collaborative Residual Metric Learning. 1107-1116 - Yonghui Yang
Generative-Contrastive Graph Learning for Recommendation. 1117-1126 - Zhiyu Yuan
Hydrus: Improving Personalized Quality of Experience in Short-form Video Services. 1127-1136 - Xubin Ren
Disentangled Contrastive Collaborative Filtering. 1137-1146
Session 23 - Cold-start Recommendation and Users' Preferences & Interests
- Feiran Huang
Aligning Distillation For Cold-start Item Recommendation. 1147-1157 - Zhenchao Wu
M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation. 1158-1167 - Chunyang Wang
A Preference Learning Decoupling Framework for User Cold-Start Recommendation. 1168-1177 - Nícollas Silva, Thiago Silva
Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems. 1178-1187 - Jie Shuai
Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. 1188-1197 - Yinwei Wei
Strategy-aware Bundle Recommender System. 1198-1207
Session 24 - Cross-modal, Cross-lingual, Multi-modal
- Zhiqi Huang
Soft Prompt Decoding for Multilingual Dense Retrieval. 1208-1218 - Suraj Nair
BLADE: Combining Vocabulary Pruning and Intermediate Pretraining for Scaleable Neural CLIR. 1219-1229 - Xinghua Zhang
Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. 1230-1240 - Weijing Chen
Rethinking Benchmarks for Cross-modal Image-text Retrieval. 1241-1251 - Leigang Qu
Learnable Pillar-based Re-ranking for Image-Text Retrieval. 1252-1261 - Minyi Zhao
Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer. 1262-1272 - Jianfeng Dong
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. 1273-1282
Session 25 - E-commerce & Other Applications
- Zhiying Deng
Multi-view Multi-aspect Neural Networks for Next-basket Recommendation. 1283-1292 - Negin Ghasemi
Cross-Market Product-Related Question Answering. 1293-1302 - Ran Li
Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network. 1303-1312 - Zihua Si
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. 1313-1323 - Yuliang Liu
Unsupervised Readability Assessment via Learning from Weak Readability Signals. 1324-1334 - Gal Peretz
What If: Generating Code to Answer Simulation Questions in Chemistry Texts. 1335-1344 - Siqi Han
ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments. 1345-1354
Session 26 - Query Performance and CTR Prediction
- Guglielmo Faggioli
A Geometric Framework for Query Performance Prediction in Conversational Search. 1355-1365 - Tianqi He
DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive Learning. 1366-1375 - Zhen Tian
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. 1376-1385 - Yang Zhang
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. 1386-1395 - Ashutosh Nayak
News Popularity Beyond the Click-Through-Rate for Personalized Recommendations. 1396-1405 - Qiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He:
Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. 1406-1415
Session 27 - Summarisation & Text Generation
- Xiuying Chen
A Topic-aware Summarization Framework with Different Modal Side Information. 1416-1425 - Shuai Wang
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? 1426-1436 - Sebastian Hofstätter
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. 1437-1447 - Jiangui Chen
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. 1448-1457 - Bolong Zheng
RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion. 1458-1467
Session 28 - Cross-domain Recommendation
- Zepeng Huai
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. 1468-1477 - Jingtong Gao
AutoTransfer: Instance Transfer for Cross-Domain Recommendations. 1478-1487 - Yi Zhao
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. 1488-1497 - Yuhao Wang
PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. 1498-1507
Session 29 - Multimodal & Multimedia
- Yinwei Wei
LightGT: A Light Graph Transformer for Multimedia Recommendation. 1508-1517 - Xiaolin Chen
Dual Semantic Knowledge Composed Multimodal Dialog Systems. 1518-1527 - Zijia Zhao
MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. 1528-1538 - Shuaiyang Li
Multimodal Counterfactual Learning Network for Multimedia-based Recommendation. 1539-1548 - Zhongxiang Sun
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. 1549-1558
Session 30 - Temporal & Dynamic - Part 2
- Ke Liang
Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. 1559-1568 - Gaël Poux-Médard
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks. 1569-1577 - Shangfei Zheng
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. 1578-1588 - Haoran Tang
Dynamic Graph Evolution Learning for Recommendation. 1589-1598 - Siyu Wang
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. 1599-1608
Session 31 - Implicit Feedback and Sessions
- Xuan Tan
SCHash: Speedy Simplicial Complex Neural Networks via Randomized Hashing. 1609-1618 - Naoto Ohsaka
A Critical Reexamination of Intra-List Distance and Dispersion. 1619-1628 - Zeyu Zhang
Contrastive Learning for Signed Bipartite Graphs. 1629-1638 - Jaewan Moon
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation. 1639-1648 - Jyun-Yu Jiang
Uncertainty Quantification for Extreme Classification. 1649-1659
Session 32 - Collaborative Filtering & Graph Neural Approaches
- Yuyang Ren
Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation. 1660-1669 - Wei He
Candidate-aware Graph Contrastive Learning for Recommendation. 1670-1679 - Chaoliu Li
Graph Transformer for Recommendation. 1680-1689
Session 33 - Attacks and Other Recommender Systems
- Wei Yuan
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. 1690-1699 - Yu-An Liu
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. 1700-1709 - Hao Jiang
RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News Recommendation. 1710-1720 - Chenguang Du
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. 1721-1730
Short Research Papers
- Zhichao Xu
A Lightweight Constrained Generation Alternative for Query-focused Summarization. 1745-1749 - Longhu Qin
A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. 1750-1754 - Liu Yu
Mixup-based Unified Framework to Overcome Gender Bias Resurgence. 1755-1759 - Fan Zhang
A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System. 1760-1764 - Zengzhi Wang
A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis. 1765-1770 - Carlos Lassance
A Static Pruning Study on Sparse Neural Retrievers. 1771-1775 - Can Özbey
A Unified Formulation for the Frequency Distribution of Word Frequencies using the Inverse Zipf's Law. 1776-1780 - Thong Nguyen
Adapting Learned Sparse Retrieval for Long Documents. 1781-1785 - Jinyun Li
ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction. 1786-1790 - Feiteng Fang
Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection. 1791-1795 - Tuukka Ruotsalo
Affective Relevance: Inferring Emotional Responses via fNIRS Neuroimaging. 1796-1800 - Yuanhao Liu
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. 1801-1805 - Congcong Liu
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. 1806-1810 - Yiqing Wu
Attacking Pre-trained Recommendation. 1811-1815 - Yan Zhou
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation. 1816-1820 - Viet-Anh Tran
Attention Mixtures for Time-Aware Sequential Recommendation. 1821-1826 - Shengyao Zhuang
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval. 1827-1832 - Xin Gan
AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. 1833-1837 - Armin Toroghi
Bayesian Knowledge-driven Critiquing with Indirect Evidence. 1838-1842 - Haitian Chen
Behavior Modeling for Point of Interest Search. 1843-1847 - Hervé Déjean
Benchmarking Middle-Trained Language Models for Neural Search. 1848-1852 - Sreyan Ghosh
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER. 1853-1858 - Yin Deng
BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction. 1859-1863 - Zheng Liu
Calibration Learning for Few-shot Novel Product Description. 1864-1868 - Marwah Alaofi
Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study. 1869-1873 - Siyu Wang
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. 1874-1878 - Ran Le
CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model. 1879-1883 - Yibo Wang
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. 1884-1888 - Oleg Lesota
Computational Versus Perceived Popularity Miscalibration in Recommender Systems. 1889-1893 - Yang Zhang
Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. 1894-1898 - Hye-young Kim
ConQueR: Contextualized Query Reduction using Search Logs. 1899-1903 - Xiang Li
Context-Aware Modeling via Simulated Exposure Page for CTR Prediction. 1904-1908 - Wentao Ouyang
Contrastive Learning for Conversion Rate Prediction. 1909-1913 - Yunpeng Weng
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. 1914-1918 - Duzhen Zhang
Decomposing Logits Distillation for Incremental Named Entity Recognition. 1919-1923 - Felice Antonio Merra
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. 1924-1928 - Yimo Ren
DeviceGPT: A Generative Pre-Training Transformer on the Heterogenous Graph for Internet of Things. 1929-1933 - Jiazhan Feng
Dimension-Prompts Boost Commonsense Consolidation. 1934-1938 - Nikhita Vedula
Disentangling User Conversations with Voice Assistants for Online Shopping. 1939-1943 - Dongsheng Wang
DocGraphLM: Documental Graph Language Model for Information Extraction. 1944-1948 - Zexi Li
Edge-cloud Collaborative Learning with Federated and Centralized Features. 1949-1953 - Minghan Li
SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. 1954-1959 - Shivangi Bithel
Evaluating Cross-modal Generative Models Using Retrieval Task. 1960-1965 - Wanjie Tao
Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking. 1966-1970 - Kaixin Ji
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. 1971-1975 - Michael Llordes
Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation. 1976-1980 - Enes Recep Cinar
Exploiting Cluster-Skipping Inverted Index for Semantic Place Retrieval. 1981-1985 - Ruoyu Zhang
Exploiting Ubiquitous Mentions for Document-Level Relation Extraction. 1986-1990 - Hiroaki Shiino
Exploration of Unranked Items in Safe Online Learning to Re-Rank. 1991-1995 - Garima Chhikara
Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. 1996-2000 - Erman Yafay
Faster Dynamic Pruning via Reordering of Documents in Inverted Indexes. 2001-2005 - Jieming Zhu
FINAL: Factorized Interaction Layer for CTR Prediction. 2006-2010 - Sebastian Schelter
Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation. 2011-2015 - Liang Yao
Friend Ranking in Online Games via Pre-training Edge Transformers. 2016-2020 - Hongxiang Lin
Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning. 2021-2025 - Iain Mackie
Generative Relevance Feedback with Large Language Models. 2026-2031 - Xuanhua Yang
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. 2032-2036 - Ziwei Fan
Graph Collaborative Signals Denoising and Augmentation for Recommendation. 2037-2041 - Lu Fan
Neighborhood-based Hard Negative Mining for Sequential Recommendation. 2042-2046 - Zhenzhou Lin
Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding. 2047-2051 - Jiaying Lu
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. 2052-2056 - Junwei Cheng
How Significant Attributes are in the Community Detection of Attributed Multiplex Networks. 2057-2061 - Kaize Ding
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. 2062-2066 - Nikita Pavlichenko
Best Prompts for Text-to-Image Models and How to Find Them. 2067-2071 - James O'Neill
Improved Vector Quantization For Dense Retrieval with Contrastive Distillation. 2072-2076 - Jia-Huei Ju
Improving Conversational Passage Re-ranking with View Ensemble. 2077-2081 - Xiongfeng Xiao
Improving News Recommendation via Bottlenecked Multi-task Pre-training. 2082-2086 - Ngozi Ihemelandu
Inference at Scale: Significance Testing for Large Search and Recommendation Experiments. 2087-2091 - Qiao Jin
LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search. 2092-2097 - Dmitry Abulkhanov
LAPCA: Language-Agnostic Pretraining with Cross-Lingual Alignment. 2098-2102 - Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang:
Learning from Crowds with Annotation Reliability. 2103-2107 - Parth Chhabra
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. 2108-2112 - Yang Deng
Learning to Ask Clarification Questions with Spatial Reasoning. 2113-2117 - Diogo Tavares
Learning to Ask Questions for Zero-shot Dialogue State Tracking. 2118-2122 - Ehsan Kamalloo
Limitations of Open-Domain Question Answering Benchmarks for Document-level Reasoning. 2123-2128 - Zhenwei Tang
LogicRec: Recommendation with Users' Logical Requirements. 2129-2133 - Seonmin Kim
Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features. 2134-2138 - Lingwei Kong
LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising. 2139-2143 - Zhiang Yue
MA-MRC: A Multi-answer Machine Reading Comprehension Dataset. 2144-2148 - Shuokai Li
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. 2149-2153 - Eduardo Brito
MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token Pairs. 2154-2158 - Xiaowen Shi
MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed. 2159-2163 - Usman Naseem
MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. 2164-2168 - Paul Musgrave
Measuring Service-Level Learning Effects in Search Via Query-Randomized Experiments. 2169-2173 - Kai Ouyang
Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation. 2174-2178 - Tianchi Cai
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. 2179-2183 - Menghan Wang
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion. 2184-2188 - Zhoujin Tian
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. 2189-2193 - Shengwei Zhao
Multi-grained Representation Learning for Cross-modal Retrieval. 2194-2198 - Chaobo He
Multiple Topics Community Detection in Attributed Networks. 2199-2203 - Yejin Lee
NC2T: Novel Curriculum Learning Approaches for Cross-Prompt Trait Scoring. 2204-2208 - Xueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, Le Sun:
Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval. 2209-2214 - Rafael Glater
On Answer Position Bias in Transformers for Question Answering. 2215-2219 - Andreas Chari
On the Effects of Regional Spelling Conventions in Retrieval Models. 2220-2224 - Aki Barry
On the Impact of Data Quality on Image Classification Fairness. 2225-2229 - Sean MacAvaney
One-Shot Labeling for Automatic Relevance Estimation. 2230-2235 - Xiangkui Lu
Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation. 2236-2240 - Amifa Raj
Patterns of Gender-Specializing Query Reformulation. 2241-2245 - Takehiro Takayanagi
Personalized Dynamic Recommender System for Investors. 2246-2250 - An Yan
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. 2251-2255 - Ruixue Lian
PersonalTM: Transformer Memory for Personalized Retrieval. 2256-2260 - Zixin Guo
PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting. 2261-2265 - Dingcheng Li
Power Norm Based Lifelong Learning for Paraphrase Generations. 2266-2271 - Yulong Huang
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. 2272-2276 - Xiao Fu
Priming and Actions: An Analysis in Conversational Search Systems. 2277-2281 - Seolhwa Lee
Private Meeting Summarization Without Performance Loss. 2282-2286 - Lei Liu
Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation. 2287-2292 - Hitesh Sagtani
Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. 2293-2297 - Negar Arabzadeh
Quantifying Ranker Coverage of Different Query Subspaces. 2298-2302 - Debasis Ganguly
Query-specific Variable Depth Pooling via Query Performance Prediction. 2303-2307 - Honglei Zhuang
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. 2308-2313 - Rafael Ferreira
Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features. 2314-2318 - Xuming Hu
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. 2319-2323 - Tianshu Yu
Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. 2324-2328 - Yifan Qiao
Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval. 2329-2333 - Donghan Yu
Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. 2334-2338 - Wei Yang
Review-based Multi-intention Contrastive Learning for Recommendation. 2339-2343 - Yawen Zeng
RewardTLG: Learning to Temporally Language Grounding from Flexible Reward. 2344-2348 - Zhiheng Zhang
Robust Causal Inference for Recommender System to Overcome Noisy Confounders. 2349-2353 - Patrik Dokoupil
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. 2354-2358 - Austin R. Ward
Searching for Products in Virtual Reality: Understanding the Impact of Context and Result Presentation on User Experience. 2359-2363 - Xuming Hu
SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. 2364-2368 - Huiyuan Chen
Sharpness-Aware Graph Collaborative Filtering. 2369-2373 - Dongxu Li
Simple Approach for Aspect Sentiment Triplet Extraction Using Span-Based Segment Tagging and Dual Extractors. 2374-2378 - Kazuyoshi Aoyama
Simpler is Much Faster: Fair and Independent Inner Product Search. 2379-2383 - Andreea Iana
Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives. 2384-2388 - Jian Xie
SimTDE: Simple Transformer Distillation for Sentence Embeddings. 2389-2393 - Konstantin Yakovlev
Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval. 2394-2398 - Weize Kong
SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval. 2399-2403 - Dara Bahri
Surprise: Result List Truncation via Extreme Value Theory. 2404-2408 - Fernando Ferraretto, Thiago Laitz
ExaRanker: Synthetic Explanations Improve Neural Rankers. 2409-2414 - Jingyuan Li
TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. 2415-2419 - Nicola Messina
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. 2420-2425 - Ziheng Chen
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. 2426-2430 - Carlos Lassance
The Tale of Two MSMARCO - and Their Unfair Comparisons. 2431-2435 - Xuming Hu
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. 2436-2440 - Shuyan Huang
Towards Robust Knowledge Tracing Models via k-Sparse Attention. 2441-2445 - Yueyang Su
TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data. 2446-2450 - Min-Jeong Kim
TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks. 2451-2455 - Jae-woong Lee
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering. 2456-2460 - Yi Ren
Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control. 2461-2465 - Taichi Liu
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. 2466-2470 - Ang Li
Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. 2471-2475 - Yiqing Xie
Unsupervised Dense Retrieval Training with Web Anchors. 2476-2480 - Haoyu Gao
Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning. 2481-2485 - Ashutosh Singh
Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. 2486-2490 - Fangyuan Luo
User-Dependent Learning to Debias for Recommendation. 2491-2495 - Yujie Chen
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. 2496-2500 - Ran Xu
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. 2501-2505 - Samarth Bhargav
When the Music Stops: Tip-of-the-Tongue Retrieval for Music. 2506-2510 - Alexander K. Taylor
Where Does Your News Come From? Predicting Information Pathways in Social Media. 2511-2515 - Chunjing Gan
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. 2516-2520 - Yankai Chen
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. 2521-2525 - Hsien-Chin Lin
EmoUS: Simulating User Emotions in Task-Oriented Dialogues. 2526-2531
Reproducibility Papers
- Ming Li
Repetition and Exploration in Sequential Recommendation. 2532-2541 - Shuai Wang
Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study. 2542-2551 - Xiao Wang
Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. 2552-2561 - Miriam Louise Carnot
On Stance Detection in Image Retrieval for Argumentation. 2562-2571 - Joakim Edin
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. 2572-2582 - Chuan Meng
Query Performance Prediction: From Ad-hoc to Conversational Search. 2583-2593 - Janek Bevendorff
An Empirical Comparison of Web Content Extraction Algorithms. 2594-2603
Perspective Papers
- Giovanni Trappolini
Multimodal Neural Databases. 2619-2628 - Aixin Sun
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint. 2629-2638 - Zheng Yuan
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. 2639-2649 - Aparna Balagopalan
The Role of Relevance in Fair Ranking. 2650-2660 - Hyunsung Lee
How Important is Periodic Model update in Recommender System? 2661-2668 - Qingyao Ai
Metric-agnostic Ranking Optimization. 2669-2680
Resource Papers
- Xiaohui Xie
T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking. 2681-2690 - Petr Babkin
BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains. 2691-2700 - Xinghua Qu
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. 2701-2711 - Haolan Zhan
SocialDial: A Benchmark for Socially-Aware Dialogue Systems. 2712-2722 - Yuanxing Liu
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation. 2723-2732 - Barry Menglong Yao
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. 2733-2743 - Haochen Zhang
Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval. 2744-2753 - Arun Tejasvi Chaganty
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. 2754-2764 - Martin Wessel
Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection. 2765-2774 - Nolwenn Bernard
MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce. 2775-2785 - Shuyu Guo
Towards Explainable Conversational Recommender Systems. 2786-2795 - Liana Ermakova
The JOKER Corpus: English-French Parallel Data for Multilingual Wordplay Recognition. 2796-2806 - Yihao Ding
Form-NLU: Dataset for the Form Natural Language Understanding. 2807-2816 - Chris Kamphuis
MMEAD: MS MARCO Entity Annotations and Disambiguations. 2817-2825 - Maik Fröbe
The Information Retrieval Experiment Platform. 2826-2836 - Lanling Xu
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. 2837-2847 - Jan Heinrich Reimer
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives. 2848-2860 - Yaoqi Liu
GammaGL: A Multi-Backend Library for Graph Neural Networks. 2861-2870 - Hugo O. Sousa
tieval: An Evaluation Framework for Temporal Information Extraction Systems. 2871-2879 - Dawn J. Lawrie
HC3: A Suite of Test Collections for CLIR Evaluation over Informal Text. 2880-2889 - Defu Lian
RecStudio: Towards a Highly-Modularized Recommender System. 2890-2900 - Xuming Hu
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. 2901-2912 - David Kartchner
BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis. 2913-2923 - Jifan Yu
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. 2924-2934 - Kai Wang
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System. 2935-2944 - Jiongnan Liu
JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions. 2945-2952 - Eduard Poesina
iQPP: A Benchmark for Image Query Performance Prediction. 2953-2963 - Nandan Thakur
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval. 2964-2974 - Jheng-Hong Yang
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. 2975-2984 - Giovanni Bonisoli
DICE: a Dataset of Italian Crime Event news. 2985-2995 - Anxo Pérez
BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. 2996-3006 - Muhammad Hasan Maqbool
MobileRec: A Large Scale Dataset for Mobile Apps Recommendation. 3007-3016 - Yang Bai
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering. 3017-3026 - Gabriel Iturra-Bocaz
RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data Streams. 3027-3036 - Penghui Wei
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. 3037-3046 - Ian Soboroff
The BETTER Cross-Language Datasets. 3047-3053 - Simerjot Kaur
REFinD: Relation Extraction Financial Dataset. 3054-3063 - Pierre-Yves Genest
Linked-DocRED - Enhancing DocRED with Entity-Linking to Evaluate End-To-End Document-Level Information Extraction Pipelines. 3064-3074 - Marco Alessio
DECAF: A Modular and Extensible Conversational Search Framework. 3075-3085 - Petra Galuscáková
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation. 3086-3094
Demo Papers
- Chaofan Li
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. 3095-3099 - Mahsa Seifikar
A Preference Judgment Tool for Authoritative Assessment. 3100-3104 - Wojciech Kusa
VoMBaT: A Tool for Visualising Evaluation Measure Behaviour in High-Recall Search Tasks. 3105-3109 - Bryan Amador
Searching the ACL Anthology with Math Formulas and Text. 3110-3114 - Chang Nian Chuy
One Stop Shop for Question-Answering Dataset Selection. 3115-3119 - Luyu Gao
Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval. 3120-3124 - Zhixuan Li
Profiling and Visualizing Dynamic Pruning Algorithms. 3125-3129 - Jianfeng He
MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. 3130-3134 - Maciej Rybinski
SciHarvester: Searching Scientific Documents for Numerical Values. 3135-3139 - Wen Zhang
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. 3140-3144 - Xiaoxiao Shang
AMICA: Alleviating Misinformation for Chinese Americans. 3145-3149 - Yin-Wei Chiu
PEPO: Petition Executing Processing Optimizer Based on Natural Language Processing. 3150-3154 - Weibin Cai
HeteroCS: A Heterogeneous Community Search System With Semantic Explanation. 3155-3159 - Shi Yu
OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. 3160-3164 - Mohamed Abdelrazek
FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models. 3165-3169 - Zien Sheikh Ali
Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification. 3170-3174 - Junyang Wu
SEA: A Scalable Entity Alignment System. 3175-3179 - Daniel Vera Nieto
A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals. 3180-3184 - Yuxuan Zong
XpmIR: A Modular Library for Learning to Rank and Neural IR Experiments. 3185-3189 - Harrisen Scells
pybool_ir: A Toolkit for Domain-Specific Search Experiments. 3190-3194 - Matthias Springstein
TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies. 3195-3199 - Lucio La Cava
SONAR: Web-based Tool for Multimodal Exploration of Non-Fungible Token Inspiration Networks. 3200-3204 - Fabio Giachelle
Searching for Reliable Facts over a Medical Knowledge Base. 3205-3209 - Elias Bassani
ranxhub: An Online Repository for Information Retrieval Runs. 3210-3214 - Francesco Meggetto
Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic Research. 3215-3219 - Gabriela González Sáez
Exploratory Visualization Tool for the Continuous Evaluation of Information Retrieval Systems. 3220-3224
SIRIP Papers
- Jayant Kumar
Multi-lingual Semantic Search for Domain-specific Applications: Adobe Photoshop and Illustrator Help Search. 3225-3229 - Alva Liu
Bootstrapping Query Suggestions in Spotify's Instant Search System. 3230-3234 - Sicong Xie
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. 3235-3239 - Zhe Yu
A Consumer Compensation System in Ride-hailing Service. 3240-3244 - Chen Ji
Interactive Recommendation System for Meituan Waimai. 3245-3249 - Wenping Wang
Integrity and Junkiness Failure Handling for Embedding-based Retrieval: A Case Study in Social Network Search. 3250-3254 - Yuncheng Hua
Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation. 3255-3259 - Pengyuan Li
Long-Form Information Retrieval for Enterprise Matchmaking. 3260-3264 - Mingming Li
Learning Query-aware Embedding Index for Improving E-commerce Dense Retrieval. 3265-3269 - Daohong Jian
A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation. 3270-3274 - Youhua Tang
TMML: Text-Guided MuliModal Product Location For Alleviating Retrieval Inconsistency in E-Commerce. 3275-3279 - Han Zhao
MDI: A Debiasing Method Combining Unbiased and Biased Data. 3280-3284 - Pavlos Fragkogiannis
Context-Aware Classification of Legal Document Pages. 3285-3289 - Xiangyu Niu
Facebook Content Search: Efficient and Effective Adapting Search on A Large Scale. 3290-3294 - Nuo Chen
Practice and Challenges in Building a Business-oriented Search Engine Quality Metric. 3295-3299 - Sebastian Björkqvist
Building a Graph-Based Patent Search Engine. 3300-3304 - Sen Hu
A Data-centric Solution to Improve Online Performance of Customer Service Bots. 3305-3309 - Zhoufutu Wen
Enhancing Dynamic Image Advertising with Vision-Language Pre-training. 3310-3314 - Juanhui Li
Graph Enhanced BERT for Query Understanding. 3315-3319 - Btissam Er-Rahmadi
KATIE: A System for Key Attributes Identification in Product Knowledge Graph Construction. 3320-3324 - Wenting Ye
A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data. 3325-3329 - Jiahui Shi
Embedding Based Retrieval in Friend Recommendation. 3330-3334 - Christophe Van Gysel
Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities. 3335-3338 - Takehiro Takayanagi
Personalized Stock Recommendation with Investors' Attention and Contextual Information. 3339-3343 - Barbara Rychalska
Synerise Monad: A Foundation Model for Behavioral Event Data. 3344-3348 - Hsiu-Wei Yang
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection. 3349-3353 - Shaochuan Lin, Jiayan Pei
Exploring the Spatiotemporal Features of Online Food Recommendation Service. 3354-3358 - Junpeng Fang
Alleviating Matching Bias in Marketing Recommendations. 3359-3363 - Yankun Ren
GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. 3364-3368 - Jieyu Yang
DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. 3369-3373 - Xinyi Zheng
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). 3374-3379 - Chen Luo
Implicit Query Parsing at Amazon Product Search. 3380-3384 - Xiaoyang Zheng
Delving into E-Commerce Product Retrieval with Vision-Language Pre-training. 3385-3389 - Suthee Chaidaroon
Improving Programming Q&A with Neural Generative Augmentation. 3390-3394 - Sanat Sharma
Contextual Multilingual Spellchecker for User Queries. 3395-3399 - Md. Mostafizur Rahman
Exploring 360-Degree View of Customers for Lookalike Modeling. 3400-3404 - Zhigong Zhou
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search. 3405-3409 - Dengtian Lin
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. 3410-3414 - Xiaojie Wang
How Well do Offline Metrics Predict Online Performance of Product Ranking Models? 3415-3420 - Akshay Jagatap
AttriBERT - Session-based Product Attribute Recommendation with BERT. 3421-3425
Tutorials
- Dell Zhang
Uncertainty Quantification for Text Classification. 3426-3429 - Eugene Yang
Neural Methods for Cross-Language Information Retrieval. 3430-3431 - Wenjie Wang
Causal Recommendation: Progresses and Future Directions. 3432-3435 - Laura Dietz
Neuro-Symbolic Representations for Information Retrieval. 3436-3439 - Shashank Gupta
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. 3440-3443 - Mozhdeh Ariannezhad
Complex Item Set Recommendation. 3444-3447 - Avishek Anand
Explainable Information Retrieval. 3448-3451 - Lizi Liao
Proactive Conversational Agents in the Post-ChatGPT World. 3452-3455
Workshops
- Sebastian Bruch
ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. 3456-3459 - Gabriel Bénédict
[email protected] 2023: The First Workshop on Generative Information Retrieval. 3460-3463 - Sameena Shah
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. 3464-3467 - Michael Bendersky
SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). 3468-3471 - Fabio Pinelli
FLIRT: Federated Learning for Information Retrieval. 3472-3475 - Surya Kallumadi
eCom'23: The SIGIR 2023 Workshop on eCommerce. 3476-3478 - Marina Litvak
The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT'23). 3479-3482 - Ralf Krestel
4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023). 3483-3486
Doctoral Consortium
- Catherine Chen
Quantifying and Advancing Information Retrieval System Explainability. 3487 - Xuming Hu
Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy. 3488 - Pooya Khandel
Large-Scale Data Processing for Information Retrieval Applications. 3489 - Molly McGregor
Defining and Measuring Cost, Effort, and Load in Information Retrieval. 3490 - Markus Nilles
Conversational Bibliographic Search. 3491 - Dipannita Podder
Resilient Retrieval Models for Large Collection. 3492 - Radin Hamidi Rad
Neural Architectures for Searching Subgraph Structures. 3493 - Thilina Rajapakse
Dense Passage Retrieval: Architectures and Augmentation Methods. 3494 - Clemencia Siro
Evaluating Task-oriented Dialogue Systems with Users. 3495 - Sergey Volokhin
Exploring User and Item Representation, Justification Generation, and Data Augmentation for Conversational Recommender Systems. 3496 - Yang Zhang
Towards Trustworthy Recommender System: A Faithful and Responsible Recommendation Perspective. 3497
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