Furyton / Recommender-Baseline-ModelLinks
common used Recommend Baseline Model, including the traditional statistical model, and the Nerual Network Model. Focus on the SRS (Sequential Recommend System).
☆15Updated 3 years ago
Alternatives and similar repositories for Recommender-Baseline-Model
Users that are interested in Recommender-Baseline-Model are comparing it to the libraries listed below
Sorting:
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆78Updated 2 years ago
- Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.☆117Updated last year
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- An up-to-date, comprehensive and flexible recommendation library☆211Updated last year
- [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation …☆37Updated 2 years ago
- All code necessary for reproducing the "Improving Sequential Recommendation with LLMs" and "Leveraging Large Language Models for Sequenti…☆102Updated last year
- ☆19Updated 3 months ago
- The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".☆106Updated 8 months ago
- [NeurIPS'24] The official implementation code of LLM-ESR.☆22Updated last year
- Towards LLM-RecSys Alignment with Textual ID Learning☆52Updated 11 months ago
- This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) TKDE 2021.☆20Updated 3 years ago
- This is the official implementation of FIRE☆17Updated 8 months ago
- ☆143Updated 3 months ago
- ☆35Updated last year
- Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".☆50Updated last year
- ☆60Updated last year
- Session-based Recommendation☆64Updated last year
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆59Updated 3 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆106Updated 3 years ago
- [AAAI'25 Oral] The official implementation code of LLMEmb☆36Updated 4 months ago
- How to Index Item IDs for Recommendation Foundation Models☆80Updated 3 weeks ago
- ☆27Updated 2 weeks ago
- Recommender systems with large language models (Paper list)☆61Updated last year
- Large Language Model for Generative Recommendation☆72Updated last year
- [Updating] ColdRec: An Open-Source Toolbox for Cold-Start Recommendation.☆39Updated last week
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆193Updated last year
- (WWW'24 + LinkedIn) The first RS that tightly combines LLM with ID-based RS☆151Updated 11 months ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆64Updated last year
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆59Updated 2 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆103Updated last year