Performance Comparison Of Collaborative-Filtering Approach With Implicit And Explicit Data

• Main Authors: Marisa, Fitri, Syed Ahmad, Sharifah Sakinah, Mohd Yusoh, Zeratul Izzah, Akhriza, Tubagus Mohammad, Purnomowati, Wiwin, Pandey, Rakesh Kumar
• Format: Article
• Language: English
• Published: Science and Information Organization 2019
• Online Access: http://eprints.utem.edu.my/id/eprint/24308/2/2019%20PERFORMANCE_COMPARISON_OF_COLLABORATIVE_FILTERING_APPROACH.PDF; http://eprints.utem.edu.my/id/eprint/24308/; https://thesai.org/Downloads/Volume10No10/Paper_16-Performance_Comparison_of_Collaborative_Filtering_Approach.pdf

Challenge in developing a collaborative filtering (CF)-based recommendation system is the problem of cold-starting of items that causes the data to sparse and reduces the accuracy of the recommendations. Therefore, to produce high accuracy a match is needed between the types of data and the approach...