Rec-Models
更多細(xì)節(jié)參考項(xiàng)目：https://github.com/JackHCC/Rec-Models
https://github.com/JackHCC/Rec-Models
?? Summary of recommendation, advertising and search models.
Recall
Papers
| Paper | Resource | Others |
|---|---|---|
| [2019阿里SDM模型] SDM: Sequential Deep Matching Model for Online Large-scale Recommender System | Code | |
| [2019阿里JTM] Joint Optimization of Tree-based Index and Deep Model for Recommender Systems | Code | |
| [2019百度MOBIUS] MOBIUS:Towards the Next Generation of Qery Ad Matching in Baidu's Sponsored Search | Code | |
| [2019YouTube雙塔] sampling bias corrected neural modeling for large corpus item recommendations | Code | |
| [2018阿里TDM] Learning Tree-based Deep Model for Recommender Systems | Code | |
| [2018Facebook] Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace | Code | |
| [2013 DSSM模型] Learning deep structured semantic models for web search using clickthrough data | Code | |
| [2008 SVD] Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model | Code | |
| [2008] Collaborative Filtering for Implicit Feedback Datasets | Code |
Ranking（CTR|CVR）
Papers
Datasets
- Criteo
- Avazu
- Movielens
- Amazon
- Alibaba Click and Conversion Prediction
- UCI Machine Learning Repository
Reranking
Papers
| Paper | Resource | Others |
|---|---|---|
| [IJCAJ2018, Alibaba]. Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search | Code | |
| [SIGIR2018, Qingyao Ai]. Learning a Deep Listwise Context Model for Ranking Refinement | Code | |
| [RecSys2019, Alibaba]. Personalized Re-ranking for Recommendation | Code | |
| [CIKM2020, Alibaba]. EdgeRec-Recommender System on Edge in Mobile Taobao | Code | |
| [Artix2021, Alibaba]. Revisit Recommender System in the Permutation Prospective | Code |
Blogs
Calibration
Papers
| Paper | Resource | Others |
|---|---|---|
| (KDD2020, Alibaba). Calibrating User Response Predictions in Online Advertising | Code | |
| (WWW2020, Tencent). A Simple and Empirically Strong Method for Reliable Probabilistic Predictions | Code | |
| (WWW2022, Alibaba). MBCT Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration | Code |
