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many users in real time is imperative. Singular value decomposition (SVD) is applied to CF to achieve such goal. SVD …, they do not want to combine their data. In this article, we investigate how to provide SVD-based referrals on partitioned … it is possible to provide accurate SVD-based referrals on integrated data while preserving e-companies' privacy. …
Persistent link: https://www.econbiz.de/10008505639
One of the most popular approaches to Collaborative Filtering is based on Matrix Factorization (MF). In this paper, we focus on improving MF-based recommender's accuracy by homogeneous ensemble methods. To build such ensembles, we investigate a series of methods primarily in two aspects: (i)...
Persistent link: https://www.econbiz.de/10009023325
Mobile recommender systems target on recommending the right product or information to the right mobile users at anytime and anywhere. It is well known that the contextual information is often the key for the performances of mobile recommendations. Therefore, in this paper, we provide a focused...
Persistent link: https://www.econbiz.de/10010883111
This paper demonstrates how image content can be used to realize a location-based shopping recommender system for intuitively supporting mobile users in decision making. Generic Fourier Descriptors (GFD) image content of an item was extracted to exploit knowledge contained in item and user...
Persistent link: https://www.econbiz.de/10009415346