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