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Jiarui Jin

Shanghai Jiao Tong University

23 papers hereh-index 14862 citations34 works total

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

author position
  • first author13
  • middle author9

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.IR16
  • cs.LG4
  • cs.MA2
  • cs.CL1
affiliations
  • Shanghai Jiao Tong University
Homepage
same name
  • Jiarui Jin — 10 papers, h 5
  • Jiarui Jin — 1 paper, h 0
  • Jiarui Jin — 1 paper, 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
20192025
most citedUser Behavior Retrieval for Click-Through Rate Prediction

107 citations · 319 across the 22 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.IR2020

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network

Jiarui Jin, Kounianhua Du, Weinan Zhang +5

Heterogeneous information network (HIN) has been widely used to characterize entities of various types and their complex relations. Recent attempts either rely on explicit path rea…

cs.IR2020★ 3 cited

An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph

Jiarui Jin, Jiarui Qin, Yuchen Fang +5

There is an influx of heterogeneous information network (HIN) based recommender systems in recent years since HIN is capable of characterizing complex graphs and contains rich sema…

cs.IR2020★ 107 cited

User Behavior Retrieval for Click-Through Rate Prediction

Jiarui Qin, Weinan Zhang, Xin Wu +3

Click-through rate (CTR) prediction plays a key role in modern online personalization services. In practice, it is necessary to capture user's drifting interests by modeling sequen…

cs.IR2020★ 1 cited

A Deep Recurrent Survival Model for Unbiased Ranking

Jiarui Jin, Yuchen Fang, Weinan Zhang +7

Position bias is a critical problem in information retrieval when dealing with implicit yet biased user feedback data. Unbiased ranking methods typically rely on causality models a…

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