Modeling Social Media Content with Word Vectors for Recommendation

In social media, recommender systems are becoming more and more important. Different techniques have been designed for recommendations under various scenarios, but many of them do not use user-generated content, which potentially reflects users’ opinions and interests. Although a few studies have tr...

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Bibliographic Details
Main Authors: DING, Ying, Jing JIANG
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/sis_research/3074
https://ink.library.smu.edu.sg/context/sis_research/article/4074/viewcontent/ModelingSocialMediaContent_2015_av.pdf
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Institution: Singapore Management University
Language: English
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