TY - GEN
T1 - Clustering-based recommender system: Bundle recommendation using matrix factorization to single user and user communities
AU - Ortiz, Remigio Hurtado
AU - Chasi, Rodolfo Bojorque
AU - Chalco, César Inga
PY - 2019/1/1
Y1 - 2019/1/1
N2 - This paper shows the results of a Recommender System (RS) that suggests bundles of items to a user or a community of users. Nowadays, there are several RS that realize suggestions of a unique item considering the preferences of a user. However, these RS are not scalable and sometimes the suggestions that make are far from a user’s preferences. We propose an RS that suggests bundles of items to one user or a community of users with similar affinities. This RS uses an algorithm based on Matrix Factorization (MF). To execute the experiments, we use released databases with high dispersion. The results obtained are evaluated per the metrics Accuracy, Precision, Recall and F-measure. The results demonstrate that the proposed method improves significantly the quality of the suggestions.
AB - This paper shows the results of a Recommender System (RS) that suggests bundles of items to a user or a community of users. Nowadays, there are several RS that realize suggestions of a unique item considering the preferences of a user. However, these RS are not scalable and sometimes the suggestions that make are far from a user’s preferences. We propose an RS that suggests bundles of items to one user or a community of users with similar affinities. This RS uses an algorithm based on Matrix Factorization (MF). To execute the experiments, we use released databases with high dispersion. The results obtained are evaluated per the metrics Accuracy, Precision, Recall and F-measure. The results demonstrate that the proposed method improves significantly the quality of the suggestions.
KW - Bundles of items
KW - Matrix factorization
KW - Recommender system
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85049676161&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85049676161&origin=inward
UR - http://www.mendeley.com/research/clusteringbased-recommender-system-bundle-recommendation-using-matrix-factorization-single-user-user
U2 - 10.1007/978-3-319-94229-2_32
DO - 10.1007/978-3-319-94229-2_32
M3 - Conference contribution
SN - 9783319942285
T3 - Advances in Intelligent Systems and Computing
SP - 330
EP - 338
BT - Clustering-based recommender system: Bundle recommendation using matrix factorization to single user and user communities
A2 - Ahram, Tareq Z.
T2 - Advances in Intelligent Systems and Computing
Y2 - 1 January 2015
ER -