Dual-view learning for detecting web query intents

Alejandro Figueroa; John Atkinson

doi:10.1109/MC.2018.2888763

Dual-view learning for detecting web query intents

Alejandro Figueroa
, John Atkinson

Research output: Contribution to specialist publication › Article

1 Scopus citations

Abstract

Automatically categorizing user intent behind web queries is a key issue not only for improving information retrieval tasks but also for designing tailored displays based on the underlying intention. In this article, a multiview learning method is proposed to recognize the user intent behind web searches.

Original language	English
Pages	34-42
Number of pages	9
Volume	52
No	8
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2018.2888763
State	Published - Aug 2019
Externally published	Yes

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10.1109/MC.2018.2888763

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title = "Dual-view learning for detecting web query intents",

abstract = "Automatically categorizing user intent behind web queries is a key issue not only for improving information retrieval tasks but also for designing tailored displays based on the underlying intention. In this article, a multiview learning method is proposed to recognize the user intent behind web searches.",

author = "Alejandro Figueroa and John Atkinson",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.",

year = "2019",

month = aug,

doi = "10.1109/MC.2018.2888763",

language = "English",

volume = "52",

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AB - Automatically categorizing user intent behind web queries is a key issue not only for improving information retrieval tasks but also for designing tailored displays based on the underlying intention. In this article, a multiview learning method is proposed to recognize the user intent behind web searches.

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SP - 34

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JO - Computer

JF - Computer

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Dual-view learning for detecting web query intents

Abstract

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