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Dynamic Query Intent Prediction from a Search Log Stream

Dynamic Query Intent Prediction from a Search Log Stream

Wael K. Hanna, Aziza Saad Asem, M. B. Senousy
Copyright: © 2016 |Volume: 6 |Issue: 2 |Pages: 20
ISSN: 2155-6377|EISSN: 2155-6385|EISBN13: 9781466692497|DOI: 10.4018/IJIRR.2016040104
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MLA

Hanna, Wael K., et al. "Dynamic Query Intent Prediction from a Search Log Stream." IJIRR vol.6, no.2 2016: pp.66-85. http://doi.org/10.4018/IJIRR.2016040104

APA

Hanna, W. K., Asem, A. S., & Senousy, M. B. (2016). Dynamic Query Intent Prediction from a Search Log Stream. International Journal of Information Retrieval Research (IJIRR), 6(2), 66-85. http://doi.org/10.4018/IJIRR.2016040104

Chicago

Hanna, Wael K., Aziza Saad Asem, and M. B. Senousy. "Dynamic Query Intent Prediction from a Search Log Stream," International Journal of Information Retrieval Research (IJIRR) 6, no.2: 66-85. http://doi.org/10.4018/IJIRR.2016040104

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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.

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