Name
Abstract | ||
|---|---|---|
Social tagging systems extend recommender systems from the pair (user, item) to (user, item, tag). This paper discusses the framework of similarity measure on (user, item, tag) from qualitative and quantitative perspectives. The qualitative measure makes use of the preference structure relation on (user, item, tag), and the quantitative measure makes use of reflection on (user, item, tag). The k nearest neighbors and reverse k' nearest neighbors are used to generate recommendations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-02750-0_20 | AMT |
Field | DocType | Volume |
Recommender system,k-nearest neighbors algorithm,Data mining,Collaborative filtering,Information retrieval,Similarity measure,Computer science,Mean absolute error | Conference | 8210 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
18 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xi Yuan | 1 | 0 | 0.34 |
| Jiajin Huang | 2 | 69 | 15.70 |
| Ning Zhong | 3 | 2907 | 300.63 |