Matches in SemOpenAlex for { <https://semopenalex.org/work/W2758259173> ?p ?o ?g. }
- W2758259173 endingPage "701" @default.
- W2758259173 startingPage "690" @default.
- W2758259173 abstract "Recommendation algorithms based on bipartite networks have become increasingly popular, thanks to their accuracy and flexibility. Currently, many of these methods ignore users’ negative ratings. In this work, we propose a method to exploit negative ratings for the network-based inference algorithm. We find that negative ratings play a positive role regardless of sparsity of data sets. Furthermore, we improve the efficiency of our method and compare it with the state-of-the-art algorithms. Experimental results show that the present method outperforms the existing algorithms." @default.
- W2758259173 created "2017-10-06" @default.
- W2758259173 creator A5020981025 @default.
- W2758259173 creator A5040646100 @default.
- W2758259173 creator A5087013512 @default.
- W2758259173 date "2018-01-01" @default.
- W2758259173 modified "2023-10-16" @default.
- W2758259173 title "A reconsideration of negative ratings for network-based recommendation" @default.
- W2758259173 cites W1643888449 @default.
- W2758259173 cites W1744598899 @default.
- W2758259173 cites W1839609872 @default.
- W2758259173 cites W1893639437 @default.
- W2758259173 cites W1970325540 @default.
- W2758259173 cites W1970447570 @default.
- W2758259173 cites W1971040550 @default.
- W2758259173 cites W1972744876 @default.
- W2758259173 cites W1984336972 @default.
- W2758259173 cites W1985281539 @default.
- W2758259173 cites W1985357787 @default.
- W2758259173 cites W1994473607 @default.
- W2758259173 cites W1998761108 @default.
- W2758259173 cites W1999047234 @default.
- W2758259173 cites W2002887509 @default.
- W2758259173 cites W2006119182 @default.
- W2758259173 cites W2031487654 @default.
- W2758259173 cites W2032711376 @default.
- W2758259173 cites W2032869685 @default.
- W2758259173 cites W2040104100 @default.
- W2758259173 cites W2054141820 @default.
- W2758259173 cites W2065019374 @default.
- W2758259173 cites W2082897135 @default.
- W2758259173 cites W2083809487 @default.
- W2758259173 cites W2087269285 @default.
- W2758259173 cites W2092753908 @default.
- W2758259173 cites W2094908976 @default.
- W2758259173 cites W2111094216 @default.
- W2758259173 cites W2129345726 @default.
- W2758259173 cites W2135007932 @default.
- W2758259173 cites W2159094788 @default.
- W2758259173 cites W2171960770 @default.
- W2758259173 cites W2172258615 @default.
- W2758259173 cites W2196908650 @default.
- W2758259173 cites W2196959810 @default.
- W2758259173 cites W2209721355 @default.
- W2758259173 cites W2258418942 @default.
- W2758259173 cites W238751520 @default.
- W2758259173 cites W2440864886 @default.
- W2758259173 cites W3037946710 @default.
- W2758259173 cites W3101637956 @default.
- W2758259173 cites W3101922592 @default.
- W2758259173 cites W3103926008 @default.
- W2758259173 cites W823422268 @default.
- W2758259173 doi "https://doi.org/10.1016/j.physa.2017.08.119" @default.
- W2758259173 hasPublicationYear "2018" @default.
- W2758259173 type Work @default.
- W2758259173 sameAs 2758259173 @default.
- W2758259173 citedByCount "10" @default.
- W2758259173 countsByYear W27582591732018 @default.
- W2758259173 countsByYear W27582591732019 @default.
- W2758259173 countsByYear W27582591732020 @default.
- W2758259173 countsByYear W27582591732021 @default.
- W2758259173 countsByYear W27582591732022 @default.
- W2758259173 crossrefType "journal-article" @default.
- W2758259173 hasAuthorship W2758259173A5020981025 @default.
- W2758259173 hasAuthorship W2758259173A5040646100 @default.
- W2758259173 hasAuthorship W2758259173A5087013512 @default.
- W2758259173 hasConcept C105795698 @default.
- W2758259173 hasConcept C11413529 @default.
- W2758259173 hasConcept C119857082 @default.
- W2758259173 hasConcept C124101348 @default.
- W2758259173 hasConcept C132525143 @default.
- W2758259173 hasConcept C149782125 @default.
- W2758259173 hasConcept C154945302 @default.
- W2758259173 hasConcept C158600405 @default.
- W2758259173 hasConcept C165696696 @default.
- W2758259173 hasConcept C197657726 @default.
- W2758259173 hasConcept C2776214188 @default.
- W2758259173 hasConcept C2780598303 @default.
- W2758259173 hasConcept C33923547 @default.
- W2758259173 hasConcept C38652104 @default.
- W2758259173 hasConcept C41008148 @default.
- W2758259173 hasConcept C80444323 @default.
- W2758259173 hasConceptScore W2758259173C105795698 @default.
- W2758259173 hasConceptScore W2758259173C11413529 @default.
- W2758259173 hasConceptScore W2758259173C119857082 @default.
- W2758259173 hasConceptScore W2758259173C124101348 @default.
- W2758259173 hasConceptScore W2758259173C132525143 @default.
- W2758259173 hasConceptScore W2758259173C149782125 @default.
- W2758259173 hasConceptScore W2758259173C154945302 @default.
- W2758259173 hasConceptScore W2758259173C158600405 @default.
- W2758259173 hasConceptScore W2758259173C165696696 @default.
- W2758259173 hasConceptScore W2758259173C197657726 @default.
- W2758259173 hasConceptScore W2758259173C2776214188 @default.
- W2758259173 hasConceptScore W2758259173C2780598303 @default.
- W2758259173 hasConceptScore W2758259173C33923547 @default.
- W2758259173 hasConceptScore W2758259173C38652104 @default.
- W2758259173 hasConceptScore W2758259173C41008148 @default.
- W2758259173 hasConceptScore W2758259173C80444323 @default.