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Chen Gao

37 papers hereh-index 345.7k citations86 works total

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

author position
  • first author4
  • middle author30
  • last author1

Across the 35 of 37 papers where every author was matched, so the position is known.

fields
  • cs.IR29
  • cs.LG5
  • cs.CL1
  • cs.CY1
  • cs.SI1
same name
  • Chen Gao — 24 papers, h 7
  • Chen Gao — 17 papers, h 9
  • Chen Gao — 15 papers, h 10
  • Chen Gao — 14 papers, h 12
  • Chen Gao — 11 papers, h 17
  • Chen Gao — 10 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedDGCN: Diversified Recommendation with Graph Convolutional Networks

132 citations · 768 across the 36 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.IR2020★ 2 cited

Group-Buying Recommendation for Social E-Commerce

Jun Zhang, Chen Gao, Depeng Jin +1

Group buying, as an emerging form of purchase in social e-commerce websites, such as Pinduoduo, has recently achieved great success. In this new business model, users, initiator, c…

cs.IR2020★ 16 cited

Disentangling User Interest and Conformity for Recommendation with Causal Embedding

Yu Zheng, Chen Gao, Xiang Li +3

Recommendation models are usually trained on observational interaction data. However, observational interaction data could result from users' conformity towards popular items, whic…

cs.IR2020★ 15 cited

Bundle Recommendation with Graph Convolutional Networks

Jianxin Chang, Chen Gao, Xiangnan He +2

Bundle recommendation aims to recommend a bundle of items for a user to consume as a whole. Existing solutions integrate user-item interaction modeling into bundle recommendation b…

cs.IR2020★ 6 cited

Price-aware Recommendation with Graph Convolutional Networks

Yu Zheng, Chen Gao, Xiangnan He +2

In recent years, much research effort on recommendation has been devoted to mining user behaviors, i.e., collaborative filtering, along with the general information which describes…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.