Clustering Users by exploiting Activity Tracks in Recommender Systems for SME.

Luigi Portinale Samuele Brondolin

Published in: ICTAI (2021)

Keyphrases

recommender systems
collaborative filtering
user profiles
clustering algorithm
recommendation quality
cold start problem
user modeling
recommendation systems
information overload
trust aware
product recommendation

data sparsity
matrix factorization
user interests
content based filtering
user model
user interface
self organizing maps
user preferences
hierarchical clustering
cluster analysis
tag information

active user
user profiling
implicit feedback
data clustering
end users
user activity
unsupervised learning
clustering method
information filtering
user feedback
user ratings

user interaction
log data
data points
social media
social networks
k means
online dating
document clustering
item based collaborative filtering
injection attacks
collaborative filtering recommender systems