Context-aware query expansion method using Language Models and Latent Semantic Analyses

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• 作者：Btihal El Ghali ; Abderrahim El Qadi
• 关键词：Contextual information retrieval ; Language Models ; Query recommendation ; Latent Semantic Analyses ; Query expansion
• 刊名：Knowledge and Information Systems
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：50
• 期：3
• 页码：751-762
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Information Systems and Communication Service; IT in Business;
• 出版者：Springer London
• ISSN：0219-3116
• 卷排序：50

文摘

One of the key difficulties for users in information retrieval is to formulate appropriate queries to submit to the search engine. In this paper, we propose an approach to enrich the user’s queries by additional context. We used the Language Model to build the query context, which is composed of the most similar queries to the query to expand and their top-ranked documents. Then, we applied a query expansion approach based on the query context and the Latent Semantic Analyses method. Using a web test collection, we tested our approach on short and long queries. We varied the number of recommended queries and the number of expansion terms to specify the appropriate parameters for the proposed approach. Experimental results show that the proposed approach improves the effectiveness of the information retrieval system by 19.23 % for short queries and 52.94 % for long queries according to the retrieval results using the original users’ queries.