A hybrid intelligent service recommendation by latent semantics and explicit ratings-Reference-Cited by-同舟云学术

A hybrid intelligent service recommendation by latent semantics and explicit ratings

Published:2021-08-15 Issue:12 Volume:36 Page:7867-7894
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Duan Li¹^ORCID,Gao Tieliang²^ORCID,Ni Wei³^ORCID,Wang Wei¹⁴^ORCID

Affiliation:

1. School of Computer and Information Technology, Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing Jiaotong University Beijing China

2. Key Laboratory of Data Analysis and Financial Risk Prediction Xinxiang University Xinxiang China

3. Data61 CSIRO Sydney New South Wales Australia

4. Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22612

Reference34 articles.

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2. Amazon.com recommendations: item-to-item collaborative filtering