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View all- Bourhim S(2024)DFI-DGCF: A Graph-Based Recommendation Approach for Drug-Food InteractionsComplex Networks & Their Applications XII10.1007/978-3-031-53468-3_33(389-399)Online publication date: 20-Feb-2024
Recommendation systems have become an entrenched part of emarket platforms as they help offer personalized user experience, increasing thus loyalty, satisfaction and lifetime value. Although great effort has been devoted to the proposal, implementation ...
The task of collaborative filtering is to predict the preferences of an active user for unseen items given preferences of other users. These preferences are typically expressed as numerical ratings. In this paper, we propose a novel regression-based ...
In this paper, a new collaborative filtering method for item recommendation incorporating information from social networks is proposed. Item ratings and friendship ties are combined to define similarity among users and detect communities. Friendships ...
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