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: Sumaia Mohammed Al-Ghuribi, Shahrul Azman Mohd Noah, Mawal A. Mohammed, Sultan Noman Qasem, Belal Abdullah Hezam Murshed
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
user reviews
aspects
Word2vec
K-means clustering
Euclidean distance
Online Access:https://ieeexplore.ieee.org/document/10107993/

Internet

https://ieeexplore.ieee.org/document/10107993/

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