Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022792521> ?p ?o ?g. }
- W2022792521 endingPage "6482" @default.
- W2022792521 startingPage "6467" @default.
- W2022792521 abstract "Recommender systems have become prevalent in recent years as they help users to access relevant items from the vast universe of possibilities available these days. Most existing research in this area is based purely on quantitative aspects such as indices of popularity or measures of similarity between items or users. This work introduces a novel perspective on movie recommendation that combines a basic quantitative method with a qualitative approach, resulting in a family of mixed character recommender systems. The proposed framework incorporates the use of arguments in favor or against recommendations to determine if a suggestion should be presented or not to a user. In order to accomplish this, Defeasible Logic Programming (DeLP) is adopted as the underlying formalism to model facts and rules about the recommendation domain and to compute the argumentation process. This approach has a number features that could be proven useful in recommendation settings. In particular, recommendations can account for several different aspects (e.g., the cast, the genre or the rating of a movie), considering them all together through a dialectical analysis. Moreover, the approach can stem for both content-based or collaborative filtering techniques, or mix them in any arbitrary way. Most importantly, explanations supporting each recommendation can be provided in a way that can be easily understood by the user, by means of the computed arguments. In this work the proposed approach is evaluated obtaining very positive results. This suggests a great opportunity to exploit the benefits of transparent explanations and justifications in recommendations, sometimes unrealized by quantitative methods." @default.
- W2022792521 created "2016-06-24" @default.
- W2022792521 creator A5011325251 @default.
- W2022792521 creator A5019186384 @default.
- W2022792521 creator A5027856655 @default.
- W2022792521 creator A5028530267 @default.
- W2022792521 creator A5075220413 @default.
- W2022792521 creator A5077947294 @default.
- W2022792521 date "2014-10-01" @default.
- W2022792521 modified "2023-10-07" @default.
- W2022792521 title "Argument-based mixed recommenders and their application to movie suggestion" @default.
- W2022792521 cites W1514254396 @default.
- W2022792521 cites W185531298 @default.
- W2022792521 cites W1966553486 @default.
- W2022792521 cites W2004902747 @default.
- W2022792521 cites W2025605741 @default.
- W2022792521 cites W2028470267 @default.
- W2022792521 cites W2034828140 @default.
- W2022792521 cites W2043403353 @default.
- W2022792521 cites W2044701300 @default.
- W2022792521 cites W2047977202 @default.
- W2022792521 cites W2051025929 @default.
- W2022792521 cites W2056869531 @default.
- W2022792521 cites W2067374911 @default.
- W2022792521 cites W2075805052 @default.
- W2022792521 cites W2087787968 @default.
- W2022792521 cites W2113609601 @default.
- W2022792521 cites W2156092566 @default.
- W2022792521 cites W2156294944 @default.
- W2022792521 cites W2159569510 @default.
- W2022792521 cites W281665770 @default.
- W2022792521 doi "https://doi.org/10.1016/j.eswa.2014.03.046" @default.
- W2022792521 hasPublicationYear "2014" @default.
- W2022792521 type Work @default.
- W2022792521 sameAs 2022792521 @default.
- W2022792521 citedByCount "63" @default.
- W2022792521 countsByYear W20227925212014 @default.
- W2022792521 countsByYear W20227925212015 @default.
- W2022792521 countsByYear W20227925212016 @default.
- W2022792521 countsByYear W20227925212017 @default.
- W2022792521 countsByYear W20227925212018 @default.
- W2022792521 countsByYear W20227925212019 @default.
- W2022792521 countsByYear W20227925212020 @default.
- W2022792521 countsByYear W20227925212021 @default.
- W2022792521 countsByYear W20227925212022 @default.
- W2022792521 countsByYear W20227925212023 @default.
- W2022792521 crossrefType "journal-article" @default.
- W2022792521 hasAuthorship W2022792521A5011325251 @default.
- W2022792521 hasAuthorship W2022792521A5019186384 @default.
- W2022792521 hasAuthorship W2022792521A5027856655 @default.
- W2022792521 hasAuthorship W2022792521A5028530267 @default.
- W2022792521 hasAuthorship W2022792521A5075220413 @default.
- W2022792521 hasAuthorship W2022792521A5077947294 @default.
- W2022792521 hasConcept C103278499 @default.
- W2022792521 hasConcept C111472728 @default.
- W2022792521 hasConcept C115961682 @default.
- W2022792521 hasConcept C138885662 @default.
- W2022792521 hasConcept C142362112 @default.
- W2022792521 hasConcept C153349607 @default.
- W2022792521 hasConcept C154945302 @default.
- W2022792521 hasConcept C15744967 @default.
- W2022792521 hasConcept C165696696 @default.
- W2022792521 hasConcept C185592680 @default.
- W2022792521 hasConcept C21569690 @default.
- W2022792521 hasConcept C23123220 @default.
- W2022792521 hasConcept C2522767166 @default.
- W2022792521 hasConcept C2779607372 @default.
- W2022792521 hasConcept C2780586970 @default.
- W2022792521 hasConcept C38652104 @default.
- W2022792521 hasConcept C41008148 @default.
- W2022792521 hasConcept C55493867 @default.
- W2022792521 hasConcept C557471498 @default.
- W2022792521 hasConcept C558565934 @default.
- W2022792521 hasConcept C65059942 @default.
- W2022792521 hasConcept C73301696 @default.
- W2022792521 hasConcept C77805123 @default.
- W2022792521 hasConcept C98184364 @default.
- W2022792521 hasConceptScore W2022792521C103278499 @default.
- W2022792521 hasConceptScore W2022792521C111472728 @default.
- W2022792521 hasConceptScore W2022792521C115961682 @default.
- W2022792521 hasConceptScore W2022792521C138885662 @default.
- W2022792521 hasConceptScore W2022792521C142362112 @default.
- W2022792521 hasConceptScore W2022792521C153349607 @default.
- W2022792521 hasConceptScore W2022792521C154945302 @default.
- W2022792521 hasConceptScore W2022792521C15744967 @default.
- W2022792521 hasConceptScore W2022792521C165696696 @default.
- W2022792521 hasConceptScore W2022792521C185592680 @default.
- W2022792521 hasConceptScore W2022792521C21569690 @default.
- W2022792521 hasConceptScore W2022792521C23123220 @default.
- W2022792521 hasConceptScore W2022792521C2522767166 @default.
- W2022792521 hasConceptScore W2022792521C2779607372 @default.
- W2022792521 hasConceptScore W2022792521C2780586970 @default.
- W2022792521 hasConceptScore W2022792521C38652104 @default.
- W2022792521 hasConceptScore W2022792521C41008148 @default.
- W2022792521 hasConceptScore W2022792521C55493867 @default.
- W2022792521 hasConceptScore W2022792521C557471498 @default.
- W2022792521 hasConceptScore W2022792521C558565934 @default.
- W2022792521 hasConceptScore W2022792521C65059942 @default.