Domain Knowledge Based Personalized Recommendation Model and Its Application in Cross-selling | Zendy

Lingling Zhang | Zendy; Caifeng Hu | Zendy; Quan Chen | Zendy; Yibing Chen | Zendy; Yong Shi | Zendy

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Domain Knowledge Based Personalized Recommendation Model and Its Application in Cross-selling

Author(s) -

Lingling Zhang,

Caifeng Hu,

Quan Chen,

Yibing Chen,

Yong Shi

Publication year - 2012

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2012.04.144

Subject(s) - computer science , collaborative filtering , scalability , domain (mathematical analysis) , recommender system , domain knowledge , focus (optics) , process (computing) , profit (economics) , data science , knowledge management , information retrieval , database , operating system , mathematical analysis , physics , mathematics , optics , economics , microeconomics

This paper proposes a new personalized recommendation model based on domain knowledge to emphasize the importance of domain knowledge in recommendation process. We focus on integration of domain knowledge in the whole process of personalized recommendation to overcome those problems such as poor scalability, poor in dealing with data sparseness, overlooking the factor of profit when using traditional collaborative filtering as recommendation method. We apply our new method in enterprises cross-selling as a case study at the last part of this paper

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