Personalized Mobile Catering Recommender System Based on Context Ontology Model and Rule Inference

Dan Xiang Ai; Hui Zuo; Jun Yang

doi:10.4028/www.scientific.net/AMR.717.708

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 717Personalized Mobile Catering Recommender System...

Personalized Mobile Catering Recommender System Based on Context Ontology Model and Rule Inference

Abstract:

With the development of smart mobile terminals and pervasive computing, mobile recommender systems are proposed to realize context-aware personalized recommendation services. A context model plays a key role in a mobile recommender. We discussed the context ontology modeling approach specific for mobile recommendation, and developed a two-level context model including a upper ontology and a domain ontology. We also designed a personalized mobile catering recommender system based on the context ontology model and rule inference. The framework of the system is depicted. And the process of rule generation and rule inference based on the context ontologies is demonstrated.

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Periodical:

Advanced Materials Research (Volume 717)

Pages:

708-713

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.717.708

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Online since:

July 2013

Authors:

Dan Xiang Ai, Hui Zuo, Jun Yang

Keywords:

Catering Recommendation, Context Ontology, Mobile Recommendation, Rule Inference

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