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Tong Chen

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.SI2
  • cs.IR1
  • cs.LG1
same name
  • Tong Chen — 6 papers, h 14
  • Tong Chen — 4 papers
  • Tong Chen — 3 papers, h 21
  • Tong Chen — 3 papers
  • Tong Chen — 2 papers
  • Tong Chen — 1 paper, h 10

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

most citedTry This Instead: Personalized and Interpretable Substitute Recommendation

9 citations · 25 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SI2020★ 7 cited

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction

Hongxu Chen, Hongzhi Yin, Xiangguo Sun +3

Cross-platform account matching plays a significant role in social network analytics, and is beneficial for a wide range of applications. However, existing methods either heavily r…

cs.SI2020★ 8 cited

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection

Shijie Zhang, Hongzhi Yin, Tong Chen +3

In recent years, recommender system has become an indispensable function in all e-commerce platforms. The review rating data for a recommender system typically comes from open plat…

cs.IR2020★ 9 cited

Try This Instead: Personalized and Interpretable Substitute Recommendation

Tong Chen, Hongzhi Yin, Guanhua Ye +3

As a fundamental yet significant process in personalized recommendation, candidate generation and suggestion effectively help users spot the most suitable items for them. Consequen…

cs.LG2019★ 1 cited

Sequence-Aware Factorization Machines for Temporal Predictive Analytics

Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen +3

In various web applications like targeted advertising and recommender systems, the available categorical features (e.g., product type) are often of great importance but sparse. As…

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