Unknown But Interesting Recommendation Using Social Penetration

碩士 === 元智大學 === 資訊工程學系 === 103 === With the recent rise in popularity of social networks, millions of users have accommodated social network websites into their daily lives. Based on the social information from the social network websites, recommendation systems can predict users’ preferences and re...

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Bibliographic Details
Main Authors: Chih-Chin Chung, 鍾沚芹
Other Authors: Ching-Lueh Chang
Format: Others
Language:en_US
Online Access:http://ndltd.ncl.edu.tw/handle/kgkuen