Towards a more comprehensive comparison of collaborative filtering algorithms

Cristina N. González-Caro, Maritza L. Calderón-Benavides, José J. De Pérez-Alcázar, Juan C. Garcáa-Díaz, Joaquin Delgado

Producción científica: Libro / Capitulo del libro / InformeLibros de Investigaciónrevisión exhaustiva

5 Citas (Scopus)


The basic objective of a Collaborative Filtering (CF) algorithm is to suggest items to a particular user based on his/her preferences and users with similar interests. Although, there is an apparently strong demand for CF techniques, and many algorithms have been recently proposed, very few articles comparing these techniques can be found. Our paper is oriented towards the study of a sample of algorithms to representing differents stages in the evolutive process of CF. Experiments were conducted on two datasets with different characteristics, using two protocols and three evaluation metrics for the different algorithms. The results indicate that, in general, the Online-Learning (WMA, MWM) and the Support Vector Machines algorithms have a better performance that the other algorithms, on both datasets. Considering the amount of information, the less sparse such information is, the higher the coverage and accuracy of general models tend to be; however, the behavior under sparse data is closer to what is observed in a real system if we have in mind that users usually rate an amount of records much smaller than the total available.

Idioma originalInglés
Título de la publicación alojadaString Processing and Information Retrieval - 9th International Symposium, SPIRE 2002, Proceedings
EditoresAlberto H. F. Laender, Arlindo L. Oliveira
EditorialSpringer Verlag
Número de páginas6
ISBN (versión impresa)3540441581, 9783540441588
EstadoPublicada - 2002
Evento9th International Symposium on String Processing and Information Retrieval, SPIRE 2002 - Lisbon, Portugal
Duración: 11 sep. 200213 sep. 2002

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349


Conferencia9th International Symposium on String Processing and Information Retrieval, SPIRE 2002


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