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

51 citations · 51 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SI2019

Ranking Users in Social Networks with Motif-based PageRank

Huan Zhao, Xiaogang Xu, Yangqiu Song +3

PageRank has been widely used to measure the authority or the influence of a user in social networks. However, conventional PageRank only makes use of edge-based relations, which r…

cs.SI2019

Motif Enhanced Recommendation over Heterogeneous Information Network

Huan Zhao, Yingqi Zhou, Yangqiu Song +1

Heterogeneous Information Networks (HIN) has been widely used in recommender systems (RSs). In previous HIN-based RSs, meta-path is used to compute the similarity between users and…

cs.IR201951 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

C-DLSI: An Extended LSI Tailored for Federated Text Retrieval

Qijun Zhu, Dandan Li, Dik Lun Lee

As the web expands in data volume and in geographical distribution, centralized search methods become inefficient, leading to increasing interest in cooperative information retriev…

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…