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Addressing Data Sparsity in Collaborative Filtering Based Recommender Systems Using Clustering and Artificial Neural Network.
Ashrf Althbiti
Rayan Alshamrani
Tami Alghamdi
Stephen Lee
Xiaogang Ma
Published in:
CCWC (2021)
Keyphrases
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data sparsity
collaborative filtering
recommender systems
artificial neural networks
matrix factorization
cold start problem
recommendation quality
collaborative filtering algorithms
cold start
clustering algorithm
transfer learning
user preferences
k means
information overload
cluster analysis
unsupervised learning
hybrid recommendation
item based collaborative filtering
topic modeling
neural network
collaborative filtering recommender systems
web search
recommendation systems
information extraction
pairwise
netflix prize
user feedback
probabilistic matrix factorization
user profiles