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Jian Gao

15 papers hereh-index 13725 citations34 works total

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

author position
  • sole author1
  • first author6
  • middle author6
  • last author2

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph8
  • cs.IR4
  • econ.GN3
same name
  • Jian Gao — 25 papers, h 13
  • Jian Gao — 12 papers, h 10
  • Jian Gao — 12 papers, h 20
  • Jian Gao — 10 papers, h 4
  • Jian Gao — 9 papers, h 4
  • Jian Gao — 5 papers, h 3

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
20142024
most citedQuantifying China's Regional Economic Complexity

173 citations · 540 across the 15 of their papers we have counts for

collaborators
Showing cs.IRShow all

4 papers · 1 filter

cs.IR2018★ 35 cited

A trust-based recommendation method using network diffusion processes

Ling-Jiao Chen, Jian Gao

A variety of rating-based recommendation methods have been extensively studied including the well-known collaborative filtering approaches and some network diffusion-based methods,…

cs.IR2015★ 39 cited

A vertex similarity index for better personalized recommendation

Ling-Jiao Chen, Zi-Ke Zhang, Jin-Hu Liu +2

Recommender systems benefit us in tackling the problem of information overload by predicting our potential choices among diverse niche objects. So far, a variety of personalized re…

cs.IR2015★ 57 cited

Evaluating user reputation in online rating systems via an iterative group-based ranking method

Jian Gao, Tao Zhou

Reputation is a valuable asset in online social lives and it has drawn increased attention. How to evaluate user reputation in online rating systems is especially significant due t…

cs.IR2015★ 50 cited

Group-based ranking method for online rating systems with spamming attacks

Jian Gao, Yu-Wei Dong, Mingsheng Shang +2

Ranking problem has attracted much attention in real systems. How to design a robust ranking method is especially significant for online rating systems under the threat of spamming…

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