Improved Collaborative Filtering Recommendation Through Similarity Prediction

Improved Collaborative Filtering Recommendation Through Similarity Prediction

Collaborative Filtering (CF) approaches have been widely used in various applications of recommender systems. These methods are based on estimating the similarity between users/items by analyzing the ratings provided by users. The existing methods are often domain-specific and have not considered th...

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Bibliographic Details
Main Authors: Nima Joorabloo, Mahdi Jalili, Yongli Ren
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
recommendation system
sequential pattern
similarity measure
time
prediction
Online Access:https://ieeexplore.ieee.org/document/9247214/

Internet

https://ieeexplore.ieee.org/document/9247214/

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