Ontology-Based Personalized Meta Search Engine
Zhiming Cui · Microelectronics & Computer · 2004
The paper puts forward a new personalized meta search engine model based on ontology to solve the problem that now-used search engines can't consider the user's personal interests for their personalized search. The expression and auto explicit learning algorithm of ontology-based user profile are given as well as the ontology-based fusion algorithm of search result. The system model with three-layer structure and the processing of users' personalized search are discussed thoroughly. Finally, the evaluation criteria for the system is stated.