To Cluster, or not to Cluster: The Impact of Clustering on the Performance of Aspect-based Collaborative Filtering

To Cluster, or not to Cluster: The Impact of Clustering on the Performance of Aspect-based Collaborative Filtering

Collaborative filtering (CF) is one of the most widely utilised approaches in recommendation techniques. It suggests items to users based on the ratings of other users who share their preferences. Thus, one of the aims of CF is to find reliable neighbours. Typically, CF produces a sparse user-item r...

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Bibliographic Details
Main Authors: AL-Ghuribi, S.M (Author), Mohammed, M.A (Author), Murshed, B.A.H (Author), Noah, S.A.M (Author), Qasem, S.N (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
Aspect
aspects
Clustering algorithms
Clusterings
collaborative filtering
Collaborative filtering
Computer science
Costs
Euclidean distance
Filtering performance
K-means clustering
K-means++ clustering
matrix
Motion pictures
Performance
Prediction algorithms
Semantics
user reviews
User reviews
Word2vec
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