关键词: 信息检索, 向量空间模型, 个性化网页搜索, 用户画像, PageRank算法

Abstract: In order to solve the problem that different users have different expectations for search results in information retrieval, a personalized web search algorithm based on vector space model was proposed.In view of the different interests of users, user portraits could more comprehensively express the characteristics of user interests. The vector space model was used to establish user portraits to express user interests, combined with traditional web page ranking algorithms to obtain the final web page ranking results. Different web search results could be obtained for different users, and the number of web pages that meet user interests increases in the top ranking web pages. Through the analysis of the experimental results of simulated web search, it was proved that this algorithm was better than the traditional PageRank algorithm in personalized web search.

Key words: Information retrieval, Vector space model, Personalized web search, User profile, PageRank algorithm