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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Main Authors: | DING, Ying, Jing JIANG |
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Format: | text |
Language: | English |
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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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