FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2808152329> ?p ?o ?g. }

• W2808152329 endingPage "91" @default.
• W2808152329 startingPage "78" @default.
• W2808152329 abstract "Mood and emotion play an important role when it comes to choosing musical tracks to listen to. In the field of music information retrieval and recommendation, emotion is considered contextual information that is hard to capture, albeit highly influential. In this study, we analyze the connection between users` emotional states and their musical choices. Particularly, we perform a large-scale study based on two data sets containing 560,000 and 90,000 #nowplaying tweets, respectively. We extract affective contextual information from hashtags contained in these tweets by applying an unsupervised sentiment dictionary approach. Subsequently, we utilize a state-of-the-art network embedding method to learn latent feature representations of users, tracks and hashtags. Based on both the affective information and the latent features, a set of eight ranking methods is proposed. We find that relying on a ranking approach that incorporates the latent representations of users and tracks allows for capturing a user's general musical preferences well (regardless of used hashtags or affective information). However, for capturing context-specific preferences (a more complex and personal ranking task), we find that ranking strategies that rely on affective information and that leverage hashtags as context information outperform the other ranking strategies." @default.
• W2808152329 created "2018-06-21" @default.
• W2808152329 creator A5061291906 @default.
• W2808152329 creator A5070525687 @default.
• W2808152329 creator A5076203419 @default.
• W2808152329 creator A5090638822 @default.
• W2808152329 date "2021-01-01" @default.
• W2808152329 modified "2023-10-01" @default.
• W2808152329 title "Leveraging Affective Hashtags for Ranking Music Recommendations" @default.
• W2808152329 cites W1488971269 @default.
• W2808152329 cites W1523147944 @default.
• W2808152329 cites W1560147776 @default.
• W2808152329 cites W1586317846 @default.
• W2808152329 cites W1927727167 @default.
• W2808152329 cites W1934598921 @default.
• W2808152329 cites W1964415811 @default.
• W2808152329 cites W1965355809 @default.
• W2808152329 cites W1965608811 @default.
• W2808152329 cites W1973397896 @default.
• W2808152329 cites W1973616272 @default.
• W2808152329 cites W1983507146 @default.
• W2808152329 cites W1985732434 @default.
• W2808152329 cites W1994477474 @default.
• W2808152329 cites W2000562880 @default.
• W2808152329 cites W2005152349 @default.
• W2808152329 cites W2005866189 @default.
• W2808152329 cites W2008886893 @default.
• W2808152329 cites W2015748192 @default.
• W2808152329 cites W2026836846 @default.
• W2808152329 cites W2028674570 @default.
• W2808152329 cites W2033242584 @default.
• W2808152329 cites W2035293997 @default.
• W2808152329 cites W2042281163 @default.
• W2808152329 cites W2044277341 @default.
• W2808152329 cites W2049229728 @default.
• W2808152329 cites W2049434052 @default.
• W2808152329 cites W2059224076 @default.
• W2808152329 cites W2064931561 @default.
• W2808152329 cites W2081724542 @default.
• W2808152329 cites W2085264948 @default.
• W2808152329 cites W2094286023 @default.
• W2808152329 cites W2095880437 @default.
• W2808152329 cites W2097726431 @default.
• W2808152329 cites W2101196063 @default.
• W2808152329 cites W2101409192 @default.
• W2808152329 cites W2102937240 @default.
• W2808152329 cites W2104894372 @default.
• W2808152329 cites W2114544578 @default.
• W2808152329 cites W2117645142 @default.
• W2808152329 cites W2121516364 @default.
• W2808152329 cites W2122736533 @default.
• W2808152329 cites W2124187902 @default.
• W2808152329 cites W2126913007 @default.
• W2808152329 cites W2130225697 @default.
• W2808152329 cites W2141063789 @default.
• W2808152329 cites W2141175775 @default.
• W2808152329 cites W2152491694 @default.
• W2808152329 cites W2153578526 @default.
• W2808152329 cites W2156503193 @default.
• W2808152329 cites W2160660844 @default.
• W2808152329 cites W2164791824 @default.
• W2808152329 cites W2292977390 @default.
• W2808152329 cites W2326461243 @default.
• W2808152329 cites W2335357928 @default.
• W2808152329 cites W2419128894 @default.
• W2808152329 cites W2467068840 @default.
• W2808152329 cites W2471350540 @default.
• W2808152329 cites W2496889969 @default.
• W2808152329 cites W2554487505 @default.
• W2808152329 cites W2579555219 @default.
• W2808152329 cites W2962756421 @default.
• W2808152329 cites W3098567156 @default.
• W2808152329 cites W3104097132 @default.
• W2808152329 cites W3105705953 @default.
• W2808152329 cites W3124645392 @default.
• W2808152329 cites W4229504545 @default.
• W2808152329 cites W4239946314 @default.
• W2808152329 doi "https://doi.org/10.1109/taffc.2018.2846596" @default.
• W2808152329 hasPublicationYear "2021" @default.
• W2808152329 type Work @default.
• W2808152329 sameAs 2808152329 @default.
• W2808152329 citedByCount "15" @default.
• W2808152329 countsByYear W28081523292019 @default.
• W2808152329 countsByYear W28081523292020 @default.
• W2808152329 countsByYear W28081523292021 @default.
• W2808152329 countsByYear W28081523292022 @default.
• W2808152329 countsByYear W28081523292023 @default.
• W2808152329 crossrefType "journal-article" @default.
• W2808152329 hasAuthorship W2808152329A5061291906 @default.
• W2808152329 hasAuthorship W2808152329A5070525687 @default.
• W2808152329 hasAuthorship W2808152329A5076203419 @default.
• W2808152329 hasAuthorship W2808152329A5090638822 @default.
• W2808152329 hasConcept C119857082 @default.
• W2808152329 hasConcept C151730666 @default.
• W2808152329 hasConcept C153083717 @default.
• W2808152329 hasConcept C154945302 @default.
• W2808152329 hasConcept C15744967 @default.
• W2808152329 hasConcept C177264268 @default.

• next