westlake-repl / Recommendation-Systems-without-Explicit-ID-Features-A-Literature-ReviewLinks
Paper List of Pre-trained Foundation Recommender Models
☆353Updated 9 months ago
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:
- ☆248Updated 9 months ago
- Paper List for Recommend-system PreTrained Models☆334Updated last year
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆278Updated 2 months ago
- End-to-end Training for Multimodal Recommendation Systems☆149Updated 4 months ago
- Large Language Model-enhanced Recommender System Papers☆678Updated last week
- ☆245Updated last year
- A Toolbox for MultiModal Recommendation. Integrating 10+ Models...☆478Updated last month
- The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems☆398Updated last week
- A curated list of awesome resources about multimodal recommender systems.☆373Updated last month
- PyTorch(1.6+) implementation of https://github.com/kang205/SASRec☆425Updated this week
- A curated list of resources on cold-start recommendations.☆174Updated 2 months ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆375Updated 6 months ago
- An up-to-date, comprehensive and flexible recommendation library☆207Updated last year
- [WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"☆460Updated 11 months ago
- [ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."☆117Updated 8 months ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆316Updated 2 years ago
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆187Updated last year
- Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.☆115Updated last year
- A Large-scale Multimodal Dataset for recommender System☆139Updated 2 months ago
- A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).☆188Updated 4 months ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆254Updated 4 years ago
- An open-source framework for self-supervised recommender systems.☆583Updated 5 months ago
- ☆336Updated last year
- 主流推荐系统Rank算法的实现☆249Updated last year
- 利用大模型赋能智能推荐，通过案例讲解大模型推荐算法原理，并且给出代码实现。☆77Updated 3 months ago
- A highly-modularized and recommendation-efficient recommendation library based on PyTorch.☆189Updated 3 months ago
- 推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…☆211Updated 2 years ago
- Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System☆92Updated 8 months ago
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆589Updated 2 months ago
- [ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"☆289Updated 3 weeks ago