元搜索引擎中个性化搜索研究

Search Engine is based on key words. Generally speaking, the key words users type in do not actually show what they want. Different users have different majors and interests. There are always potential thoughts when they type in the key words, but traditional Search Engine does not know their potential thoughts. In order to solve this problem, the thesis does some research on personalized search. The thesis adds in user interest model, which is based on vector space model. It not only shows user’s main interests, but also shows users recent interests. It calculates relativity between web page and user interests, so that search results of independent Search Engines can be resorted, in this way personalized search can be realized.