Personalization in Web Search Engine
Zhiyong Feng · Jisuanji gongcheng · 2006
With the explosion of data on networks, it has been one of the important issues in Web search application that how to get Web resources to the user’s mind efficiently. We describe a new way of generating dynamic user profiles for personalization in Web resource search in this paper. It uses content-based Web search results classification to create a user profile, which is described by a RDF file. Such user characterizations are then used to find user groups based on cluster for those RDF files. Then dynamic profile and the traits of the corresponding user group in Web resources search can be used to provide a better service for the user.