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Pipei Huang

17 papers hereh-index 71.9k citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author7

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.IR4
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedMulti-Interest Network with Dynamic Routing for Recommendation at Tmall

51 citations · 87 across the 15 of their papers we have counts for

collaborators
Showing cs.IRShow all

4 papers · 1 filter

cs.IR2019★ 1 cited

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Wen Chen, Pipei Huang, Jiaming Xu +7

Increasing demand for fashion recommendation raises a lot of challenges for online shopping platforms and fashion communities. In particular, there exist two requirements for fashi…

cs.IR2019★ 35 cited

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

Qiwei Chen, Huan Zhao, Wei Li +2

Deep learning based methods have been widely used in industrial recommendation systems (RSs). Previous works adopt an Embedding&MLP paradigm: raw features are embedded into low-dim…

cs.IR2019★ 51 cited

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Chao Li, Zhiyuan Liu, Mengmeng Wu +7

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

cs.IR2018

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

Jizhe Wang, Pipei Huang, Huan Zhao +3

Recommender systems (RSs) have been the most important technology for increasing the business in Taobao, the largest online consumer-to-consumer (C2C) platform in China. The billio…

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