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Minimizing Required User Effort for Cold-Start Recommendation by Identifying the Most Important Latent Factors

Recommender systems have the effect of guiding users to interesting objects in a large space of possible options based on their preferences. However, providing accurate recommendations for new users, who do not have any records, is one of the most challenging problems in recommender systems. To retr...

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Autors principals: Yuhong Liu, Yue Han, Kirk Iserman, Zhigang Jin
Format: Artigo
Idioma:Inglês
Publicat: IEEE 2018-01-01
Col·lecció:IEEE Access
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Accés en línia:https://ieeexplore.ieee.org/document/8515028/
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