Name
Abstract | ||
|---|---|---|
In this paper we present a preliminary work in which different rating based collaborative filtering algorithms are compared in terms of scalability and recommendation quality. Algorithms are tested using a reference database and results show that the selection of one or other algorithm depends on two factors: the scalability of the algorithms and the recommendation quality. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85565-1_31 | KES (2) |
Keywords | Field | DocType |
different rating,collaborative filtering algorithms,preliminary work,reference database,recommendation quality,collaborative filtering | Recommender system,Data mining,Collaborative filtering,Information retrieval,Reference database,Computer science,Algorithm,Scalability | Conference |
Volume | ISSN | Citations |
5178 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 14 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabián P. Lousame | 1 | 1 | 0.73 |
| Eduardo Sánchez | 2 | 0 | 0.68 |