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HYBRID RECOMMENDATION ALGORITHM BASED ON TWO ROLES OF SOCIAL TAGS.
- Source :
-
International Journal of Bifurcation & Chaos in Applied Sciences & Engineering . Jul2012, Vol. 22 Issue 7, p-1. 5p. 1 Chart, 2 Graphs. - Publication Year :
- 2012
-
Abstract
- The past few years have witnessed the great success of a new family of paradigms, social tagging networks, which allows users to freely associate social tags to items and efficiently manage them. Thus it provides us a promising way to effectively find useful and interesting information. In this paper, we consider two typical roles of social tags: (i) an accessorial tool helping users organize items; (ii) a bridge that connects users and items. We then propose a hybrid algorithm to integrate the two different roles to obtain better recommendation performance. Experimental results on a real-world data set, Del.icio.us, shows that it can significantly enhance both the algorithmic accuracy and diversity. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02181274
- Volume :
- 22
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- International Journal of Bifurcation & Chaos in Applied Sciences & Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 78421135
- Full Text :
- https://doi.org/10.1142/S0218127412501660