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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/12880
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dc.contributor.authorLopatenko, A.-
dc.date.accessioned2017-05-16T12:04:30Z-
dc.date.accessioned2017-07-18T11:53:11Z-
dc.date.available2017-05-16T12:04:30Z-
dc.date.available2017-07-18T11:53:11Z-
dc.date.issued2017-
dc.identifier.citationLopatenko, A. Natural language processing for ecommerce / A. Lopatenko // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 63.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/12880-
dc.description.abstractUnderstanding users' queries and documents describing merchandise are crucial for building eCommerce applications such as shopping search engines and recommendations systems. Entity extraction, attribute extraction, semantic understanding and tagging, query expansion improves search quality, and help to improve conversationand revenue per session. In this presentation key NLP technologies will be presented as they used in building eCommerce applicationsru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectBig Dataru_RU
dc.titleNatural language processing for ecommerceru_RU
dc.typeArticleru_RU
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)

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