Query recommendation algorithm for professional search engines
Guihua Wang, Qin Xiangqing, Chen Li, Yaqiang Wang, Zhonghua Yu · Computer Engineering and Applications Journal · 2013
In the light of the differences between professional and universal search engines,a novel Query Recommendation algorithm based on word Co-occurrence and HITS algorithm(QR-CH)is proposed for professional search engines.To improve the relevance between the recommended words and the initial query,QR-CH utilizes the HITS algorithm to order the candidates which are filtered by word co-occurrence,and then chooses the candidates with high relevance as recommended words.At the same time,the algorithm reduces the redundancy effectively.Whether the recommended word is redundant depends on query results,which are also ordered by the HITS algorithm.QR-CH stores the recommended words in a domain knowledge tree which is used for query recommendation.The results of the experiment show that QR-CH is superior to the existent similar algorithms in both the relevance and the redundancy.