Applying Anytime Algorithm and Progressive Reasoning to Collaborative Filtering System Design

• Main Authors: Chih-Ta Chen, 陳志達
• Other Authors: None
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/66173143503423182794

碩士 === 國立屏東商業技術學院 === 資訊管理系 === 93 === Problems of information overload become much critical since internet being an essential path for information absorption. Therefore, different kinds of information recommendation systems are developed to solve the problems. This study presents a recommendation system design of progressive reasoning using collaborative filtering method. Progressive reasoning system can decrease the doubt of data privacy, however, its computation length cause inconvenience for further application. The study aims to employ collaborative filtering to recommend information of likely preference based on the experience of near neighbor. Then use the progressive reasoning to locate the real preference by users themselves. The searching of near neighbor is conducted by computing the similarity between new user and existing users. In the recommendation system anytime algorithms provide the capability to trade deliberation time for quality of results. A prototype also presents in the study where the data sample are collected from newsletter of a website.