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Communication Dans Un Congrès Année : 2015

Understanding Temporal Query Intent

Résumé

Understanding the temporal orientation of web search queries is an important issue for the success of information access systems. In this paper, we propose a multi-objective ensemble learning solution that (1) allows to accurately classify queries along their temporal intent and (2) identifies a set of performing solutions thus offering a wide range of possible applications. Experiments show that correct representation of the problem can lead to great classification improvements when compared to recent state-of-the-art solutions and baseline ensemble techniques.
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Dates et versions

hal-01144288 , version 1 (21-04-2015)

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  • HAL Id : hal-01144288 , version 1

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Mohammed Hasanuzzaman, Sriparna Saha, Gaël Dias, Stéphane Ferrari. Understanding Temporal Query Intent. 38th Annual ACM SIGIR Conference (SIGIR 2015), 2015, Santiago de Chile, Chile. ⟨hal-01144288⟩
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