Weight Adjustment Framework for Self-Attention Sequential Recommendation
Weight Adjustment Framework for Self-Attention Sequential Recommendation
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
In recent years, sequential recommendation systems have become a hot topic in the field of recommendation system research. These systems predict future user actions or preferences by analyzing their historical interaction sequences, such as browsing history and purchase records, and then recommend items that users may be interested in. Among variou...
Alternative Titles
Full title
Weight Adjustment Framework for Self-Attention Sequential Recommendation
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3635564e6cdf435b8dffb71d04473a26
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3635564e6cdf435b8dffb71d04473a26
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app14093608
