Zobrazeno 1 - 7
of 7
pro vyhledávání: '"research paper similarity"'
Publikováno v:
IEEE Access, Vol 10, Pp 31397-31419 (2022)
The citation intent extraction and classification has long been studied as it is a good measure of relevancy. Different approaches have classified the citations into different classes; including weak and strong, positive and negative, important and u
Externí odkaz:
https://doaj.org/article/43c12b2eb677453a9a07744ea07b0dd9
Publikováno v:
IEEE Access, Vol 5, Pp 26124-26134 (2017)
Over the decades, the immense growth has been reported in research publications due to continuous developments in science. To date, various approaches have been proposed that find similarity between research papers by applying different similarity me
Externí odkaz:
https://doaj.org/article/57132229d18f47678c1c4d3990bcd060
Akademický článek
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Publikováno v:
IEEE Access, Vol 5, Pp 26124-26134 (2017)
Over the decades, the immense growth has been reported in research publications due to continuous developments in science. To date, various approaches have been proposed that find similarity between research papers by applying different similarity me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::353635ccd6762be08ff6432a54c19960
https://doi.org/10.1109/access.2017.2771207
https://doi.org/10.1109/access.2017.2771207
Publikováno v:
2nd workshop on semantic personalized information management : retrieval and recommendation, Proceedings
Scopus-Elsevier
Scopus-Elsevier
The task of assessing the similarity of research papers is of interest in a variety of application contexts. It is a challenging task, however, as the full text of the papers is often not available, and similarity needs to be determined based on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::59c14d3e52da9f3556dcb760ec1c4bbb
https://hdl.handle.net/1854/LU-1986265
https://hdl.handle.net/1854/LU-1986265
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
LECTURE NOTES IN COMPUTER SCIENCE
Research and Advanced Technology for Digital Libraries ISBN: 9783642154638
ECDL
Research and Advanced Technology for Digital Libraries ISBN: 9783642154638
ECDL
While collaborative filtering and citation analysis have been well studied for research paper recommender systems, content-based approaches typically restrict themselves to straightforward application of the vector space model. However, various types
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8aba57a834d524f6e6b4a53c2726a57
https://hdl.handle.net/1854/LU-1224883
https://hdl.handle.net/1854/LU-1224883