Context-Similarity Collaborative Filtering Recommendation

Context-Similarity Collaborative Filtering Recommendation

This article proposes a new method to overcome the sparse data problem of the collaborative filtering models (CF models) by considering the homologous relationship between users or items calculated on contextual attributes when we build the CF models. In the traditional CF models, the results are bu...

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Bibliographic Details
Main Authors: Hiep Xuan Huynh, Nghia Quoc Phan, Nghi Mong Pham, Van-Huy Pham, Le Hoang Son, Mohamed Abdel-Basset, Mahmoud Ismail
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
CIBCF models
contextual attributes
context-similarity matrix
CUBCF models
Online Access:https://ieeexplore.ieee.org/document/8998219/

Internet

https://ieeexplore.ieee.org/document/8998219/

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