Analysis of Personalized Recommendation Models Based on Multi-Dimensional Ontology

Xiao Yan Yuan

doi:10.4028/www.scientific.net/AMR.998-999.1347

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Analysis of Personalized Recommendation Models...

Analysis of Personalized Recommendation Models Based on Multi-Dimensional Ontology

Abstract:

In order to solve the problem of information recommendation from single dimension, a personalized recommendation model based on multi-dimensional ontology is proposed in this paper. The necessity of multi-dimensional ontology is analyzed firstly. A multi-dimensional ontology, including domain ontology, time ontology and user ontology, etc., is then established using the examples of IT forefront knowledge. Based on this new ontology, recommendation of resources from multiple dimensions, i.e., the semantic, time, and comprehensive dimensions, is analyzed. Finally the personalized multi-dimensional recommendation model is presented.

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Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

1347-1351

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.1347

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Online since:

July 2014

Authors:

Xiao Yan Yuan*

Keywords:

Multi-Dimensional Ontology, Multi-Dimensional Recommendation, Recommendation Model, User Interest Degree

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* - Corresponding Author

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