Exploiting side information for effective recommendation

Recommender systems have become an essential tool in online applications to help alleviate the information overload problem. Much research effort has been devoted to traditional collaborative filtering (CF), which, however, suffers from the data sparsity and cold start problems. To ease these issues...

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Bibliographic Details
Main Author: Sha, Xiao
Other Authors: Zhang Jie
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/155781
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Institution: Nanyang Technological University
Language: English

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