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Query Sense Discovery Approach to Realize the User's Search Intent

Query Sense Discovery Approach to Realize the User's Search Intent

Tarek Chenaina, Sameh Neji, Abdullah Shoeb
Copyright: © 2022 |Volume: 12 |Issue: 1 |Pages: 18
ISSN: 2155-6377|EISSN: 2155-6385|EISBN13: 9781683182085|DOI: 10.4018/IJIRR.289609
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MLA

Chenaina, Tarek, et al. "Query Sense Discovery Approach to Realize the User's Search Intent." IJIRR vol.12, no.1 2022: pp.1-18. http://doi.org/10.4018/IJIRR.289609

APA

Chenaina, T., Neji, S., & Shoeb, A. (2022). Query Sense Discovery Approach to Realize the User's Search Intent. International Journal of Information Retrieval Research (IJIRR), 12(1), 1-18. http://doi.org/10.4018/IJIRR.289609

Chicago

Chenaina, Tarek, Sameh Neji, and Abdullah Shoeb. "Query Sense Discovery Approach to Realize the User's Search Intent," International Journal of Information Retrieval Research (IJIRR) 12, no.1: 1-18. http://doi.org/10.4018/IJIRR.289609

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Abstract

The main goal of information retrieval is getting the most relevant documents to a user’s query. So, a search engine must not only understand the meaning of each keyword in the query but also their relative senses in the context of the query. Discovering the query meaning is a comprehensive and evolutionary process; the precise meaning of the query is established as developing the association between concepts. The meaning determination process is modeled by a dynamic system operating in the semantic space of WordNet. To capture the meaning of a user query, the original query is reformulating into candidate queries by combining the concepts and their synonyms. A semantic score characterizing the overall meaning of such queries is calculated, the one with the highest score was used to perform the search. The results confirm that the proposed "Query Sense Discovery" approach provides a significant improvement in several performance measures.