Multi-component graph collaborative filtering using auxiliary information for TV program recommendat...
Multi-component graph collaborative filtering using auxiliary information for TV program recommendation
About this item
Full title
Author / Creator
Yao, Zebin , Ji, Meiqi , Xing, Tongtong , Fu, Ruiling , Li, Sitong and Yin, Fulian
Publisher
London: Springer London
Journal title
Language
English
Formats
Publication information
Publisher
London: Springer London
Subjects
More information
Scope and Contents
Contents
Recommendation systems for TV programs play an important role in alleviating the information overload problem. Existing TV program recommendation methods either do not aggregate neighborhood information well to capture collaborative signals from interaction data, or fail to make good use of auxiliary information, because they ignore the heterogenei...
Alternative Titles
Full title
Multi-component graph collaborative filtering using auxiliary information for TV program recommendation
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2865417183
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2865417183
Other Identifiers
ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-023-08940-z
