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Kai Zhang

4 papers hereh-index 12618 citations36 works total

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

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR2
  • cs.CL1
  • cs.SI1
same name
  • Kai Zhang — 22 papers, h 27
  • Kai Zhang — 13 papers
  • Kai Zhang — 8 papers
  • Kai Zhang — 7 papers
  • Kai Zhang — 6 papers
  • Kai Zhang — 5 papers

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
20202022
most citedSIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation

14 citations · 15 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification

Kai Zhang, Qi Liu, Zhenya Huang +5

Cross-domain sentiment classification (CDSC) aims to use the transferable semantics learned from the source domain to predict the sentiment of reviews in the unlabeled target domai…

cs.IR2021★ 14 cited

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation

Kai Zhang, Hao Qian, Qi Liu +4

Recent studies in recommender systems have managed to achieve significantly improved performance by leveraging reviews for rating prediction. However, despite being extensively stu…

cs.IR2020

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

Kai Zhang, Hao Qian, Qing Cui +5

In the Click-Through Rate (CTR) prediction scenario, user's sequential behaviors are well utilized to capture the user interest in the recent literature. However, despite being ext…

cs.SI2020★ 1 cited

A Dynamic and Cooperative Tracking System for Crowdfunding

Kai Zhang, Hongke Zhao, Qi Liu +2

Crowdfunding is an emerging finance platform for creators to fund their efforts by soliciting relatively small contributions from a large number of individuals using the Internet.…

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