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- W2729403604 abstract "Modeling users for the purpose of identifying their preferences and then personalizing services on the basis of these models is a complex task, primarily due to the need to take into consideration various explicit and implicit signals, missing or uncertain information, contextual aspects, and more. In this study, a novel generic approach for uncovering latent preference patterns from user data is proposed and evaluated. The approach relies on representing the data using graphs, and then systematically extracting graph-based features and using them to enrich the original user models. The extracted features encapsulate complex relationships between users, items, and metadata. The enhanced user models can then serve as an input to any recommendation algorithm. The proposed approach is domain-independent (demonstrated on data from movies, music, and business systems) and is evaluated using several state-of-the-art machine-learning methods, on different recommendation tasks, and using different evaluation metrics. Overall, the results show an unanimous improvement in the recommendation accuracy across tasks and domains." @default.
- W2729403604 created "2017-07-14" @default.
- W2729403604 creator A5040251515 @default.
- W2729403604 creator A5047191996 @default.
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- W2729403604 creator A5082219837 @default.
- W2729403604 date "2019-07-04" @default.
- W2729403604 modified "2023-09-23" @default.
- W2729403604 title "Graph-based recommendations: from data representation to feature extraction and application" @default.
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- W2729403604 doi "https://doi.org/10.1049/pbpc035g_ch21" @default.
- W2729403604 hasPublicationYear "2019" @default.
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