Time-Weighted Collaborative Filtering Recommender System
Date Issued
2006
Date
2006
Author(s)
Lin, Yu-Hsuan
DOI
en-US
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.
Subjects
合作過濾
推薦系統
時間加權
collaborative filtering
time-weighted
recommender system
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-95-R93922122-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):5962d1d364e89e9eb34a926766f5f6a4