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...

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Bibliographic Details
Main Authors: Yun-Shan Cheng, 鄭雲珊
Other Authors: Ping-Yu Hsu
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/av6he8