Context Window Based Co-occurrence Approach for Improving Feedback Based Query Expansion in Information Retrieval

Jagendra Singh and Aditi Sharan
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Jagendra Singh: Jawaharlal Nehru University, Delhi, India
Aditi Sharan: Jawaharlal Nehru University, Delhi, India

International Journal of Information Retrieval Research (IJIRR), 2015, vol. 5, issue 4, 31-45

Abstract: Pseudo-relevance feedback (PRF) is a type of relevance feedback approach of query expansion that considers the top ranked retrieved documents as relevance feedback. In this paper the authors focus is to capture the limitation of co-occurrence and PRF based query expansion approach and the authors proposed a hybrid method to improve the performance of PRF based query expansion by combining query term co-occurrence and query terms contextual information based on corpus of top retrieved feedback documents in first pass. Firstly, the paper suggests top retrieved feedback documents based query term co-occurrence approach to select an optimal combination of query terms from a pool of terms obtained using PRF based query expansion. Second, contextual window based approach is used to select the query context related terms from top feedback documents. Third, comparisons were made among baseline, co-occurrence and contextual window based approaches using different performance evaluating metrics. The experiments were performed on benchmark data and the results show significant improvement over baseline approach.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:5:y:2015:i:4:p:31-45

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