Rule-Based Effective Collaborative Recommendation Using Unfavorable Preference

Rule-Based Effective Collaborative Recommendation Using Unfavorable Preference

The biggest challenge in collaborative filtering recommendation system research is data sparsity; it mainly occurs as user rates very few items from widely available options. Data Imputation techniques address the data sparsity problem by filling the missing values and then predicting the likeliness...

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Bibliographic Details
Main Authors: G. Suganeshwari, S. P. Syed Ibrahim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Association-rule mining
collaborative filtering
data sparsity
recommendation system
unfavourable items
Online Access:https://ieeexplore.ieee.org/document/9138396/

Internet

https://ieeexplore.ieee.org/document/9138396/

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