Strategic Data Mining for Personalized Recommendations

• Main Authors: Shen-Kai Wang, 汪軒楷
• Other Authors: Tai-Ping Wang
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/27121918609180813797

碩士 === 真理大學 === 管理科學研究所 === 91 === As developing in the Internet, everyone can get the information that he wants in time. However, many browsers can’t find the information that they really want. Especially the advancement of web pages designed lead to confuse browsers. They often waste much time on browsing useless information.There are many methods and classification in data mining. Managers could analyze users’ interests by using those methods. After we collected many literatures, we find less studies that provide users recommendations they really wanted at the right moment.The proposed concept in our research called “Strategic Data Mining”, it help us to get the weight attribute by using AHP. The weight attributes spoken on behalf of its owner, and we add it in association rules. We also add user profile and content profile in this system. Using this method, we hope to provide personalized recommendations that they really want. We establish a prototype system based on “Strategic Data Mining”. This system is about books recommendations, and we hope to provide reference materials for the academic circle or the industry.