Time-Weighted Collaborative Filtering Recommender System

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 94 === Nowadays the amount of information in the world is increasing far more quickly than our ability to process them. How people can use their limited time to get interesting information has become an important issue in our daily life. Collabora-tive ‾ltering recomme...

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Bibliographic Details
Main Authors: Yu-Hsuan Lin, 林友宣
Other Authors: 許永真
Format: Others
Language:en_US
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/60015551089555900424