EXPLOITING CROSS-CHANNEL INFORMATION FOR PERSONALIZED RECOMMENDATION

Ph.D

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Bibliographic Details
Main Author: WANG XIANG
Other Authors: COMPUTER SCIENCE
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/151846
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1518462021-02-19T09:10:57Z EXPLOITING CROSS-CHANNEL INFORMATION FOR PERSONALIZED RECOMMENDATION WANG XIANG COMPUTER SCIENCE CHUA TAT SENG Personalized Recommendation, Cross Channel, Social Recommendation, Explainable Recommendation, Knowledge-aware Recommendation, Auxiliary Data Ph.D DOCTOR OF PHILOSOPHY 2019-02-28T18:01:00Z 2019-02-28T18:01:00Z 2018-08-10 Thesis WANG XIANG (2018-08-10). EXPLOITING CROSS-CHANNEL INFORMATION FOR PERSONALIZED RECOMMENDATION. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/151846 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Personalized Recommendation, Cross Channel, Social Recommendation, Explainable Recommendation, Knowledge-aware Recommendation, Auxiliary Data
spellingShingle Personalized Recommendation, Cross Channel, Social Recommendation, Explainable Recommendation, Knowledge-aware Recommendation, Auxiliary Data
WANG XIANG
EXPLOITING CROSS-CHANNEL INFORMATION FOR PERSONALIZED RECOMMENDATION
description Ph.D
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
WANG XIANG
format Theses and Dissertations
author WANG XIANG
author_sort WANG XIANG
title EXPLOITING CROSS-CHANNEL INFORMATION FOR PERSONALIZED RECOMMENDATION
title_short EXPLOITING CROSS-CHANNEL INFORMATION FOR PERSONALIZED RECOMMENDATION
title_full EXPLOITING CROSS-CHANNEL INFORMATION FOR PERSONALIZED RECOMMENDATION
title_fullStr EXPLOITING CROSS-CHANNEL INFORMATION FOR PERSONALIZED RECOMMENDATION
title_full_unstemmed EXPLOITING CROSS-CHANNEL INFORMATION FOR PERSONALIZED RECOMMENDATION
title_sort exploiting cross-channel information for personalized recommendation
publishDate 2019
url http://scholarbank.nus.edu.sg/handle/10635/151846
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