Please use this identifier to cite or link to this item:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/31599
Title: | 時間加權之合作過濾推薦系統 Time-Weighted Collaborative Filtering Recommender System |
Authors: | Yu-Hsuan Lin 林友宣 |
Advisor: | 許永真 |
Keyword: | 合作過濾,推薦系統,時間加權, collaborative filtering,time-weighted,recommender system, |
Publication Year : | 2006 |
Degree: | 碩士 |
Abstract: | 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 recommender system is one of the prevailing approaches that can help users to ‾lter unsuitable information. However, traditional collaborative ‾ltering recommender systems do not take the changing behavior of each user's interests into account. This research proposes a new time-weighted collaborative ‾ltering recommender system to capture each user's current interests precisely. The ex-perimental results show that the time-weighted collaborative ‾ltering recommender system outperforms the traditional collaborative ‾ltering recommender system with 11.2% in recommendation accuracy. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/31599 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 資訊工程學系 |
Files in This Item:
File | Size | Format | |
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ntu-95-1.pdf Restricted Access | 494.87 kB | Adobe PDF |
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