A new model for measuring similarity of web queries and its application in query expansion

作者：Meng, Lingling; Huang, Runqing; Gu, Junzhong

来源：International Journal of Grid and Distributed Computing, 2013, 6(4): 51-62.

DOI：10.14257/ijgdc.2013.6.4.05

• Accurate measurement
• Automatic query expansion
• Frequently asked questions
• Measuring similarities
• Query expansion
• Semantic information
• Similarity metrics
• Similarity of web queries

The similarity of web queries plays an important role in capturing frequently asked questions, most popular topics of search engine or automatic query expansion. Accurate measurement of similarity between queries is crucial. The paper presents a new model for similarity metric of web queries using user logs and applied it into information retrieval for query expansion. Different from previous works, in the new model not only word form, but also semantic information has been taken into account. Experiments show that using the new model in query expansion actually improved recall of 8.1 percent and precision of 9.2 percent, which indicates the good performance.

• 出版日期2013
• 单位华东师范大学