Abstract:

In view of the problem that how to add the personalized information to the search result ranking, we proposed a method based on decision tree to quantify the user’s personalized information. According to the user’s search keywords and user’s personalized information, the method predicted the user’s search intention, and fused the predicted results in ranking results. It can effectively solve the defect of traditional retrieval model by adding user’s personalization information. The experimental results show that accuracy of the ranking results is significantly improved after adding the personalized information, thereby improving the user’s experience of the search engine.

Key words: search engine, decision tree, adaboost decision tree, personalized search