Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

2 code implementations • KDD 2018 • Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee

Using online A/B test, we show that the online Click-Through-Rate (CTRs) are improved comparing to the previous recommendation methods widely used in Taobao, further demonstrating the effectiveness and feasibility of our proposed methods in Taobao's live production environment.

Graph Embedding Recommendation Systems

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System

no code implementations • 24 May 2018 • Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang

The deep cascade structure and the combination rule enable the proposed \textit{ldcTree} to have a stronger distributed feature representation ability.

Click-Through Rate Prediction Ensemble Learning

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

5 code implementations • 17 Apr 2019 • Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Pipei Huang, Huan Zhao, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee

Industrial recommender systems usually consist of the matching stage and the ranking stage, in order to handle the billion-scale of users and items.

Clustering Information Retrieval +1

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

1 code implementation • 6 May 2019 • Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao

In particular, there exist two requirements for fashion outfit recommendation: the Compatibility of the generated fashion outfits, and the Personalization in the recommendation process.

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

9 code implementations • 15 May 2019 • Qiwei Chen, Huan Zhao, Wei Li, Pipei Huang, Wenwu Ou

Deep learning based methods have been widely used in industrial recommendation systems (RSs).

Click-Through Rate Prediction Recommendation Systems