A Document Collaborative Filtering Recommender System Based on Dynamic Programming Method

• Main Authors: Chia-Yi Lin, 林佳怡
• Other Authors: Deng-Neng Chen
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/84675166188219807397

碩士 === 國立屏東科技大學 === 資訊管理系所 === 100 === With the development of information technology, the Internet has become more universal and also makes all kinds of information spread rapidly. However, the following result is that users can not exactly find what they want so it causes “information overload” to be a growing problem. In order to effectively solve the problem which users search for information, the methods of information retrieval and recommendation system can help users conveniently to obtain the required information. Therefore, this study utilizes the concept of ontology to describe the user’s preferences and to carry out the recommended paper. In addition, the group knowledge in the same field is going to be recommended to users via “Local Alignment.” In order to get more satisfying information for users, both of searching the documents which is recommended by the similar knowledge community and finding out the potential preferences of users are via the way of collaborative filtering.