Personalized Informarion Search and Subscription

• Main Authors: Yu-Feng Huang, 黃鈺峰
• Other Authors: Sun Wu
• Format: Others
• Language: en_US
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/61002633242829933063

碩士 === 國立中正大學 === 資訊工程研究所 === 89 === Information subscription and search are popular services on the web. As the information amount gets larger and larger, personalized information service becomes a trend to maximize the degree of satisfaction of the users by tailoring the users' need and interest. However, most of the personalized information service is based on the service provided by the server. I.e., they are providing personalized information service for the user to consume information provided in their service sites. In this thesis, we propose a way of providing personalized information service by embedding personalized information service in the proxy server. In our personalized information service, the user can subscribe interested content passing through the proxy servers, performing search function in the proxy cache, or search in the user's browsing history. We also design techniques to dynamically obtain the user's preference through the analysis of his/her access log such that the search will be tuned to maximize the matching of the user's preference, or automatically subscribe certain content in the web.