zhouxy1003 / TINLinks
Code for paper "Temporal Interest Network for Click-Through Rate Prediction"
☆25Updated 9 months ago
Alternatives and similar repositories for TIN
Users that are interested in TIN are comparing it to the libraries listed below
Sorting:
- ☆25Updated last year
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆57Updated last year
- ☆259Updated last year
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- The code of GDCN☆42Updated 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…☆181Updated 3 weeks ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆379Updated 10 months ago
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆80Updated 5 years ago
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆72Updated 9 months ago
- The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Scie…☆36Updated 2 years ago
- ☆53Updated 9 months ago
- End-to-end Training for Multimodal Recommendation Systems☆154Updated 7 months ago
- The Source Code of FRNet☆42Updated 2 years ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆81Updated 3 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆329Updated 2 years ago
- A highly-modularized and recommendation-efficient recommendation library based on PyTorch.☆194Updated 7 months ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆297Updated 4 years ago
- Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".☆53Updated last year
- Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.☆121Updated last year
- [TOIS 2024] Contrast-enhanced Through Network for CTR Prediction☆15Updated last year
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆206Updated last year
- The code of CL4CTR☆48Updated 2 years ago
- ☆54Updated 11 months ago
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆195Updated last year
- A curated collection of recommendation datasets with trackable dataset IDs☆62Updated 7 months ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆223Updated 4 years ago
- ☆41Updated 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…☆262Updated 3 years ago