Publication: A method for obtaining a type of scientific result from the text of an article abstract to improve the quality of recommender systems
Дата
2019
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Аннотация
© 2019 IEEE In this paper, the authors present a method to deriving type of scientific results from the texts of scientific articles and implementing these results into recommender systems to enhance their output. Type of scientific results and text data are divided into corresponding classes, which are based on hypothetical user needs. The classes indicate the type of a scientific result in article. The proposed approach involves the determination of meaningful collocations for scientific article. Topic modeling is applied to the received collocation sets from the text of an article abstract. The topics (classes) obtained show the relationship between a scientific article and the type of scientific result.
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Цитирование
Kuznetsov, I. A. A method for obtaining a type of scientific result from the text of an article abstract to improve the quality of recommender systems / Kuznetsov, I.A., Guseva, A.I. // Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. - 2019. - P. 1888-1891. - 10.1109/EIConRus.2019.8656806
URI
https://www.doi.org/10.1109/EIConRus.2019.8656806
https://www.scopus.com/record/display.uri?eid=2-s2.0-85063532341&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000469452600439
https://openrepository.mephi.ru/handle/123456789/16730
https://www.scopus.com/record/display.uri?eid=2-s2.0-85063532341&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000469452600439
https://openrepository.mephi.ru/handle/123456789/16730