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Kun Gai

49 papers hereh-index 121.2k citations53 works total

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

author position
  • first author1
  • middle author9
  • last author34

Across the 44 of 49 papers where every author was matched, so the position is known.

fields
  • cs.IR31
  • stat.ML5
  • cs.LG4
  • cs.AI2
  • cs.GT2
  • cs.SI2
same name
  • Kun Gai — 53 papers, h 20
  • Kun Gai — 36 papers, h 17
  • Kun Gai — 28 papers, h 6
  • Kun Gai — 27 papers, h 14
  • Kun Gai — 22 papers, h 11
  • Kun Gai — 9 papers, h 7

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
20172026
most citedLearning Tree-based Deep Model for Recommender Systems

301 citations · 718 across the 46 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.LG2018★ 2 cited

Learning Adaptive Display Exposure for Real-Time Advertising

Weixun Wang, Junqi Jin, Jianye Hao +9

In E-commerce advertising, where product recommendations and product ads are presented to users simultaneously, the traditional setting is to display ads at fixed positions. Howeve…

stat.ML2018★ 167 cited

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising

Junqi Jin, Chengru Song, Han Li +3

Real-time advertising allows advertisers to bid for each impression for a visiting user. To optimize specific goals such as maximizing revenue and return on investment (ROI) led by…

stat.ML2018★ 301 cited

Learning Tree-based Deep Model for Recommender Systems

Han Zhu, Xiang Li, Pengye Zhang +4

Model-based methods for recommender systems have been studied extensively in recent years. In systems with large corpus, however, the calculation cost for the learnt model to predi…

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