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researcher

Kun Gai

9 papers hereh-index 7318 citations10 works total

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

author position
  • middle author3
  • last author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.IR7
  • cs.LG2
same name
  • Kun Gai — 53 papers, h 20
  • Kun Gai — 49 papers, h 12
  • Kun Gai — 36 papers, h 17
  • Kun Gai — 28 papers, h 6
  • Kun Gai — 27 papers, h 14
  • Kun Gai — 22 papers, h 11

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
20232026
most citedMulti-behavior Self-supervised Learning for Recommendation

79 citations · 184 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.IR2024

RecFlow: An Industrial Full Flow Recommendation Dataset

Qi Liu, Kai Zheng, Rui Huang +15

Industrial recommendation systems (RS) rely on the multi-stage pipeline to balance effectiveness and efficiency when delivering items from a vast corpus to users. Existing RS bench…

cs.IR2024★ 33 cited

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

Zihua Si, Lin Guan, ZhongXiang Sun +12

The significance of modeling long-term user interests for CTR prediction tasks in large-scale recommendation systems is progressively gaining attention among researchers and practi…

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