Stars
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
Learning Large Language Model (LLM）(大语言模型学习)
Real-Time Bidding by Reinforcement Learning in Display Advertising
This is a repository of the experiment code supporting the paper Real-time Bidding Strategy in Display Advertising: An Empirical Analysis.
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Models and examples built with TensorFlow
Header-only C++/python library for fast approximate nearest neighbors
DoTAT 是一款基于web、面向领域的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持迭代标注、嵌套实体标注和嵌套事件标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，…
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
Code for the "Neural Expectation Maximization" paper.
Worth-reading papers and related awesome resources on matching task. 值得一读的匹配任务相关论文与资源集合
A unified, comprehensive and efficient recommendation library
An industrial deep learning framework for high-dimension sparse data
Interview Questions for Google, Amazon, Apple, etc. 根据超过 2000 篇真实面经整理的腾讯，阿里，字节跳动，Shopee，美团，滴滴高频面试题
阅读过的推荐系统论文的归类总结，持续更新中…
SASRec: Self-Attentive Sequential Recommendation
TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.
今日头条中文新闻文本(多层)分类数据集
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》
The code of Team Rhinobird for Mining the Web of HTML-embedded Product Data Task One at ISWC2020