DCLGM: Fusion Recommendation Model Based on LightGBM and Deep Learning
DCLGM: Fusion Recommendation Model Based on LightGBM and Deep Learning
About this item
Full title
Author / Creator
Zhao, Bin , Li, Bin , Zhang, Jiqun , Cao, Wei and Gao, Yilong
Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
The recommendation system can mine valuable information according to user preferences, so it is widely used in various industries. However, the performance of recommendation systems is generally affected by the problem of data sparsity, and LightGBM can alleviate the impact caused by data sparsity to a certain extent. To this end, this paper propos...
Alternative Titles
Full title
DCLGM: Fusion Recommendation Model Based on LightGBM and Deep Learning
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2923162125
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2923162125
Other Identifiers
ISSN
1573-773X,1370-4621
E-ISSN
1573-773X
DOI
10.1007/s11063-024-11504-4
