Search results optimization approach based on semantics
Li Li 1,2, Qiang Yao 3
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12A) 466-472
1 School of Computer and Communication Engineering, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian District, Beijing, China
2 Beijing Key Laboratory of Knowledge Engineering for Materials Science, No.30 Xueyuan Road, Haidian District, Beijing, China
3 Lenovo Corporate Research & Development, Beijing, No.6 Shangdi West Road, Haidian District, Beijing, China
Search results optimization technology studies how to process and optimize the original search results so as to improve the user experience. This paper proposed a search results optimization approach based on semantics. This approach represented user query as its semantic structure expression, and represented each original result page as a word list. A correlation calculation model was constructed by combining WordNet, large-scale corpus and users’ evaluation data, based on which the correlation between each result page and user query was calculated. When calculating correlation, different module was adopted according to the type of user query. This approach forms a new results list at last. The experiment showed this method can improve retrieval results to some extent.