reczoo / DatasetsLinks
A curated collection of recommendation datasets with trackable dataset IDs
☆59Updated 5 months ago
Alternatives and similar repositories for Datasets
Users that are interested in Datasets are comparing it to the libraries listed below
Sorting:
- ☆252Updated 10 months ago
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆55Updated 11 months ago
- The code of GDCN☆39Updated last year
- ☆24Updated 11 months ago
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆67Updated 6 months ago
- The code of CL4CTR☆48Updated 2 years ago
- End-to-end Training for Multimodal Recommendation Systems☆151Updated 5 months ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆321Updated 2 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆160Updated 6 months ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆96Updated 6 months ago
- A box of core libraries for recommendation model development☆92Updated 8 months ago
- ☆50Updated 9 months ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆375Updated 8 months ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 3 years ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆80Updated 2 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆254Updated 3 years ago
- ☆38Updated last year
- FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction☆48Updated 3 weeks ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆105Updated 2 years ago
- [ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."☆135Updated 10 months ago
- This repository collects 100 papers related to negative sampling methods.☆197Updated 2 years ago
- An up-to-date, comprehensive and flexible recommendation library☆210Updated last year
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆193Updated last year
- 在常规推荐系统算法和系统双优化的范式下,一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合,提出了OneRec算法,希望通过平台或外部各种各样的信息来进行知识集成,打破数据孤岛,极大扩充推荐的“Extra World Knowl…☆153Updated this week
- ☆51Updated 6 months ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 2 years ago
- A highly-modularized and recommendation-efficient recommendation library based on PyTorch.☆193Updated 5 months ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- Source code of TOIS paper "A Unified Framework for Multi-Domain CTR Prediction via Large Language Models"☆30Updated 7 months ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago