A Soft-Rough Set Based Approach for Handling Contextual Sparsity in Context-Aware Video Recommender Systems

A Soft-Rough Set Based Approach for Handling Contextual Sparsity in Context-Aware Video Recommender Systems

Context-aware video recommender systems (CAVRS) seek to improve recommendation performance by incorporating contextual features along with the conventional user-item ratings used by video recommender systems. In addition, the selection of influential and relevant contexts has a significant effect on...

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Bibliographic Details
Main Authors: Syed Manzar Abbas, Khubaib Amjad Alam, Shahaboddin Shamshirband
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Mathematics
Subjects:
context-aware recommender system (CARS)
collaborative filtering
rough sets
contextual sparsity
soft-rough sets
attribute reduction
Online Access:https://www.mdpi.com/2227-7390/7/8/740

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