关键词: 元搜索引擎, 兴趣模型, 个性化搜索

Abstract: As the amount of information on the Web increases rapidly, search engines become the major tools for information retrieval. Meta search engines are proposed to increase search coverage by combining several search engines. However, the problem of the information overload becomes more severe and returned results are irrelevant to user’s interests. So the paper presents a personalized meta-search engine model based on clustering and interests. This system constructs a personalized model for every user in order to form different custom crowd, and together with the clustering analysis of the searching results. The model can make search engine return more personalized searching results for users.

Key words: meta-search engine, interest model, personalized search