Recommender system on steam dataset

[SIGIR 2025] implementation of AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"

This is the official implementation of DIFF. (SIGIR'25)

[NeurIPS'24 Spotlight] The official implementation code of LLM-ESR.

The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"

[NeurIPS'24] The official implementation code of LLM-ESR.

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation

The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model

The implementation code of the TOIS paper MVS "Enhancing Multi-View Smoothness for Sequential Recommendation Models"

The official implementation code of the CIKM 2024 paper "Sequence-level Semantic Representation Fusion for Recommender Systems".

[KDD'25] Code of "Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation".

This is the official source code for our Paper: "Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec"

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

[WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".

[NeurIPS 2025] SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention, AAAI-24

[KDD'25] Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends

[SIGIR25] Intent Representation Learning with Large Language Model for Recommendation

[SIGIR 2023 Oral] This is our Pytorch implementation for the paper: "Meta-optimized Contrastive Learning for Sequential Recommendation".

Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.