Personalized News Recommendation by Topic Modeling for Extracting User Profiles

碩士 === 國立交通大學 === 資訊管理研究所 === 104 === Personalized recommendation systems have become a critical service for helping users to find items which are suitable and useful for them. However, in accordance with the change of conditions, a user’s reading interests may change over time. Hence, for online ne...

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Bibliographic Details
Main Authors: Wu, En-Ping, 吳恩平
Other Authors: Liu, Duen-Ren
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/77556023355296993465

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