Identifying and Recommending User-Interested Attributes with Values
博士 === 國立中央大學 === 企業管理學系 === 106 === To retain consumer attention and increase their purchasing rates, many online e-commerce vendors have adopted content-based approaches in their recommender systems. However, except text based documents, there are few theoretic background guiding the selection of...
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/av6he8 |