Matches in SemOpenAlex for { <https://semopenalex.org/work/W2765320439> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2765320439 endingPage "849" @default.
- W2765320439 startingPage "847" @default.
- W2765320439 abstract "ABSTRACT In large‐scale datasets, the researchers' multiple features need to be learned automatically instead of manually defined and enumerated, to improve the efficiency and effect of research collaboration prediction and recommendation. This paper applies the network embedding method to learn the context of each researcher by which the semantic similarities among researchers are calculated. Firstly, the co‐authorship network is built in a large‐scale dataset where research collaborations are denoted by co‐authorships. Then the researchers' semantic contexts in the network are learned by the network embedding method based on deep learning, and each researcher's dense, low‐dimensional vector is formed. Finally, the semantic similarities among researchers are calculated through vector similarity indices and quantitatively compared by link prediction. Experiments in the field of library and information science (LIS) verify that the method can improve the accuracy and effectiveness of research collaboration prediction and recommendation." @default.
- W2765320439 created "2017-11-10" @default.
- W2765320439 creator A5041421865 @default.
- W2765320439 date "2017-01-01" @default.
- W2765320439 modified "2023-10-16" @default.
- W2765320439 title "Research collaboration prediction and recommendation based on network embedding in co‐authorship networks" @default.
- W2765320439 cites W1528370171 @default.
- W2765320439 cites W1859627028 @default.
- W2765320439 cites W1979104937 @default.
- W2765320439 cites W2005375780 @default.
- W2765320439 cites W2101900104 @default.
- W2765320439 cites W2124054611 @default.
- W2765320439 cites W2137793309 @default.
- W2765320439 cites W2469190938 @default.
- W2765320439 cites W3098818882 @default.
- W2765320439 cites W3104097132 @default.
- W2765320439 cites W3105705953 @default.
- W2765320439 doi "https://doi.org/10.1002/pra2.2017.14505401182" @default.
- W2765320439 hasPublicationYear "2017" @default.
- W2765320439 type Work @default.
- W2765320439 sameAs 2765320439 @default.
- W2765320439 citedByCount "3" @default.
- W2765320439 countsByYear W27653204392022 @default.
- W2765320439 countsByYear W27653204392023 @default.
- W2765320439 crossrefType "journal-article" @default.
- W2765320439 hasAuthorship W2765320439A5041421865 @default.
- W2765320439 hasConcept C103278499 @default.
- W2765320439 hasConcept C115961682 @default.
- W2765320439 hasConcept C119857082 @default.
- W2765320439 hasConcept C121332964 @default.
- W2765320439 hasConcept C124101348 @default.
- W2765320439 hasConcept C130318100 @default.
- W2765320439 hasConcept C151730666 @default.
- W2765320439 hasConcept C154945302 @default.
- W2765320439 hasConcept C202444582 @default.
- W2765320439 hasConcept C23123220 @default.
- W2765320439 hasConcept C2522767166 @default.
- W2765320439 hasConcept C2778755073 @default.
- W2765320439 hasConcept C2779343474 @default.
- W2765320439 hasConcept C33923547 @default.
- W2765320439 hasConcept C41008148 @default.
- W2765320439 hasConcept C41608201 @default.
- W2765320439 hasConcept C62520636 @default.
- W2765320439 hasConcept C86803240 @default.
- W2765320439 hasConcept C9652623 @default.
- W2765320439 hasConceptScore W2765320439C103278499 @default.
- W2765320439 hasConceptScore W2765320439C115961682 @default.
- W2765320439 hasConceptScore W2765320439C119857082 @default.
- W2765320439 hasConceptScore W2765320439C121332964 @default.
- W2765320439 hasConceptScore W2765320439C124101348 @default.
- W2765320439 hasConceptScore W2765320439C130318100 @default.
- W2765320439 hasConceptScore W2765320439C151730666 @default.
- W2765320439 hasConceptScore W2765320439C154945302 @default.
- W2765320439 hasConceptScore W2765320439C202444582 @default.
- W2765320439 hasConceptScore W2765320439C23123220 @default.
- W2765320439 hasConceptScore W2765320439C2522767166 @default.
- W2765320439 hasConceptScore W2765320439C2778755073 @default.
- W2765320439 hasConceptScore W2765320439C2779343474 @default.
- W2765320439 hasConceptScore W2765320439C33923547 @default.
- W2765320439 hasConceptScore W2765320439C41008148 @default.
- W2765320439 hasConceptScore W2765320439C41608201 @default.
- W2765320439 hasConceptScore W2765320439C62520636 @default.
- W2765320439 hasConceptScore W2765320439C86803240 @default.
- W2765320439 hasConceptScore W2765320439C9652623 @default.
- W2765320439 hasIssue "1" @default.
- W2765320439 hasLocation W27653204391 @default.
- W2765320439 hasOpenAccess W2765320439 @default.
- W2765320439 hasPrimaryLocation W27653204391 @default.
- W2765320439 hasRelatedWork W2146960954 @default.
- W2765320439 hasRelatedWork W2158017000 @default.
- W2765320439 hasRelatedWork W2373031548 @default.
- W2765320439 hasRelatedWork W2373229007 @default.
- W2765320439 hasRelatedWork W2380556669 @default.
- W2765320439 hasRelatedWork W2396424089 @default.
- W2765320439 hasRelatedWork W2506594442 @default.
- W2765320439 hasRelatedWork W2596026555 @default.
- W2765320439 hasRelatedWork W2605245466 @default.
- W2765320439 hasRelatedWork W4239349090 @default.
- W2765320439 hasVolume "54" @default.
- W2765320439 isParatext "false" @default.
- W2765320439 isRetracted "false" @default.
- W2765320439 magId "2765320439" @default.
- W2765320439 workType "article" @default.