HqWu-HITCS / Awesome-Sequence-Modeling-for-RecommendationView external linksLinks
An Awesome Collection for Sequential Recommendation and Sequence Modeling in Recommend System
☆38Nov 19, 2023Updated 2 years ago
Alternatives and similar repositories for Awesome-Sequence-Modeling-for-Recommendation
Users that are interested in Awesome-Sequence-Modeling-for-Recommendation are comparing it to the libraries listed below
Sorting:
- Code release for "Long-Sequence Recommendation Models Need Decoupled Embeddings" (ICLR 2025), https://arxiv.org/abs/2410.02604☆21Mar 5, 2025Updated 11 months ago
- Knowledge-Based System'24☆12May 28, 2024Updated last year
- ☆12Mar 1, 2023Updated 2 years ago
- Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs☆13Jan 28, 2025Updated last year
- RecBole-MetaRec is an extended module for RecBole, which aims to help researchers to compare and develop their own models in the meta lea…☆25Feb 8, 2023Updated 3 years ago
- This repository is to collect keyphrase prediction resource.☆27Oct 27, 2023Updated 2 years ago
- Source code from the SIGIR 2023 article "Attention Mixtures for Time-Aware Sequential Recommendation" by V.A. Tran, G. Salha-Galvan, B. S…☆30Jul 4, 2023Updated 2 years ago
- The official pytorch implementation of our proposed model MISSL (ICDE-24).☆13Dec 8, 2023Updated 2 years ago
- The source code is for the paper: “Plug-in Diffusion Model for Sequential Recommendation” accepted in AAAI 2024 by Haokai Ma, Ruobing Xie…☆32Feb 2, 2024Updated 2 years ago
- ☆20Jun 17, 2024Updated last year
- ☆31Sep 3, 2023Updated 2 years ago
- [MM 2023 Oral] Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation☆17Jan 10, 2024Updated 2 years ago
- [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…☆39Jan 7, 2024Updated 2 years ago
- ☆76Feb 26, 2024Updated last year
- WWW 2023 "Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation"☆16Jun 20, 2023Updated 2 years ago
- [CIKM 2023] This is the official source code of "AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation" based on RecB…☆18Aug 17, 2023Updated 2 years ago
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆41Apr 1, 2024Updated last year
- [CIKM'23] The official implementation code of DiffuASR.☆42May 7, 2024Updated last year
- The code of CL4CTR☆48Jul 1, 2023Updated 2 years ago
- TGT, TKDE 2022☆17Oct 11, 2024Updated last year
- Codes for Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation (WWW2025)☆26Jun 17, 2025Updated 8 months ago
- ☆19Oct 7, 2020Updated 5 years ago
- ☆20Aug 19, 2024Updated last year
- [CSUR'24] Multimodal Recommender Systems: A Survey☆61May 31, 2024Updated last year
- Source code of our SIGIR'24 paper titled "Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients".☆25Aug 2, 2024Updated last year
- Contrastive Learning for Conversion Rate Prediction☆24Sep 4, 2023Updated 2 years ago
- ☆25Jun 9, 2022Updated 3 years ago
- Missing Modality Generation for Recommendaton☆36Apr 24, 2025Updated 9 months ago
- ☆29Apr 17, 2023Updated 2 years ago
- Multi-domain Recommendation with Adapter Tuning☆34Mar 21, 2024Updated last year
- Multi-Behavior Recommendation-Papers☆32May 12, 2025Updated 9 months ago
- ☆100Feb 16, 2022Updated 4 years ago
- [ACL 2023] UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation☆27Feb 19, 2024Updated last year
- 基于Pytorch 框架复现的推荐系统的经典模型☆24Sep 24, 2019Updated 6 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆64Jun 1, 2023Updated 2 years ago
- ☆38Aug 5, 2024Updated last year
- 精选了千余项目,包括机器学习、深度学习、NLP、GNN、推荐系统、生物医药、机器视觉等内容。☆42Apr 1, 2023Updated 2 years ago
- ☆10Dec 25, 2024Updated last year
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆62May 14, 2023Updated 2 years ago