westlake-repl / Recommendation-Systems-without-Explicit-ID-Features-A-Literature-ReviewLinks
Paper List of Pre-trained Foundation Recommender Models
☆363Updated last year
Alternatives and similar repositories for Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review
Users that are interested in Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review are comparing it to the libraries listed below
Sorting:
- ☆260Updated last year
- Paper List for Recommend-system PreTrained Models☆345Updated last year
- [ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."☆162Updated last year
- [Up-to-date] A curated list of resources on cold-start recommendations.☆224Updated last month
- End-to-end Training for Multimodal Recommendation Systems☆156Updated 8 months ago
- GRID: Generative Recommendation with Semantic IDs☆320Updated 3 weeks ago
- ☆258Updated last year
- A curated list of awesome resources about multimodal recommender systems.☆424Updated 2 months ago
- The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems☆417Updated last month
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆549Updated 2 weeks ago
- Large Language Model-enhanced Recommender System Papers☆717Updated last month
- A highly-modularized and recommendation-efficient recommendation library based on PyTorch.☆195Updated 7 months ago
- A Toolbox for MultiModal Recommendation. Integrating 10+ Models...☆537Updated 3 months ago
- PyTorch(1.6+) implementation of https://github.com/kang205/SASRec☆483Updated 2 weeks ago
- Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.☆121Updated last year
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆197Updated last year
- An up-to-date, comprehensive and flexible recommendation library☆213Updated last year
- A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).☆214Updated 8 months ago
- [Pytorch] Unofficial Implementation of "Recommender Systems with Generative Retrieval"☆72Updated 2 months ago
- Learnable Item Tokenization for Generative Recommendation (CIKM'24)☆92Updated 9 months ago
- ☆348Updated last year
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆167Updated 9 months ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆381Updated 10 months ago
- [WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"☆477Updated last year
- Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System☆96Updated last year
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆331Updated 2 years ago
- A Large-scale Multimodal Dataset for recommender System☆161Updated 6 months ago
- HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling☆501Updated last month
- Code for paper "Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models"☆100Updated 10 months ago
- Source code of TOIS paper "A Unified Framework for Multi-Domain CTR Prediction via Large Language Models"☆33Updated 10 months ago