Leveraging User Comments for Collaborative Filtering Recommendation in E-Commerce
碩士 === 國立中山大學 === 電機工程學系研究所 === 106 === The fast development of E-commerce causes the urgent need of various recommender systems that help consumers to find interesting products by extracting knowledge from the previous interaction information of users. Collaborative filtering recommender systems tr...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2018
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Online Access: | http://ndltd.ncl.edu.tw/handle/36dv89 |