Dual-View Learning for Detecting Web Query Intents.
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 sea...
| Publicado en: | Computer (00189162) Vol. 52; no. 8; pp. 34 - 43 |
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| Autores principales: | , |
| Formato: | Artículo |
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IEEE
Aug2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=137913927&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 137913927 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Aug2019 vid: 52 iid: 8 pid: 13605 pub: IEEE artinfo: ui: 137913927 10.1109/MC.2018.2888763 ppf: 34 ppct: 9 formats: tig: atl: Dual-View Learning for Detecting Web Query Intents. aug: au: Figueroa, Alejandro Atkinson, John affil: Engineering, Universidad Andres Bello, Santiago, Chili Engineering and Sciences, Universidad Adolfo Ibanez, Santiago, Chili su: Internet searching Information retrieval sug: subj: Internet searching Information retrieval keyword: Classification algorithms Entropy Feature extraction Navigation Search engines Task analysis Web search 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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