A hybrid approach to personalized web search

Technology develops rapidly and information floods. In the information explosion era, what people lack is not the scale of information but how to obtain the needed information quickly and accurately. Personalized search and service emerges. And the key problem is to make clear the needs of the users. In this paper, we combined user interest and collaborative filtering to reorder the search results and implemented the approach using multi-agent technology. Finally, we set up an experiment to check the effect of this method.