Service-Aware Personalized Item Recommendation

Current recommender systems employ item-centric properties to estimate ratings and present the results to the user. However, recent studies highlight the fact that the stages of item fruition also involve extrinsic factors, such as the interaction with the service provider before, during and after i...

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Bibliographic Details
Main Authors: Noemi Mauro, Zhongli Filippo Hu, Liliana Ardissono
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9729739/