No abstract

The information on the Web is increasing explosively, and the Internet/Web has become the information infrastructure of our own time. Web users gather and find information through search engines using keywords related to their interests. However, it is not always the case that users conceive suitable keywords relevant to the problem in question. In this paper, we propose a novel method for query expansion based on the user profile generated from browsing histories of a user. This enables a user the context-sensitive keyword expansion using profiles specific to the user. Here, we assume that a user's web browsing behavior corresponds to the user's intended query. We illustrate the usefulness of our proposed method for query expansion with some examples.

Web Web WebWith increasing the Web information, users got necessity to have attention for that. Ability of human information processing has a limit, and web search ranking results is a fundamental problem in information retrieval. Recently personalization and adaptation of Web data have become very important issues. These techniques use user's behavior,and clarify user's context. First, we introduce researches about personalization of Web data and compared in their features. We also discuss about improvement ordering of web search ranking results incorporating user's behavior.