Dynamic Query Intent Prediction from a Search Log Stream

Wael K. Hanna, Aziza Saad Asem and M. B. Senousy
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Wael K. Hanna: Mansoura University, Mansoura, Egypt
Aziza Saad Asem: Mansoura Unversity, Mansoura, Egypt
M. B. Senousy: Sadat Academy for Management Sciences, Cairo, Egypt

International Journal of Information Retrieval Research (IJIRR), 2016, vol. 6, issue 2, 66-85

Abstract: The users that used search engines are obligated to express their goals in few words (queries). Sometimes search queries are ambiguous. Moreover, the users' intents are dynamically evolving. This paper analyzes the user's query logs to classify the related queries, the related intent topic categories and the related intent types and use this classification to dynamically predict the users' future queries, its intent topic and its intent type. AOL Search Query Log is taken as an experimental data set. Then use evaluation metrics to evaluate the prediction results.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:6:y:2016:i:2:p:66-85

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