Personalized Recommendation Based on Trust and Preference

Li Hua Wu; Wen Feng Chen

doi:10.4028/www.scientific.net/AMM.713-715.2288

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Personalized Recommendation Based on Trust and...

Personalized Recommendation Based on Trust and Preference

Abstract:

Collaborative filtering recommendation is a mainstream personalized recommendation method, which has some flaws in actual application. And there are some inaccurate recommendation results in some cases. Considering the relationship of trust and similarity of user preference, this paper introduces trust to recommendation model and considers multi-dimensional factors of user preference, proposes a personalized recommendation method based on trust and preference. The recommendation method can improve the accuracy of recommendation system. Finally, this paper proves effectiveness of this recommendation method through the experiments.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2288-2291

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2288

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Online since:

January 2015

Authors:

Li Hua Wu*, Wen Feng Chen

Keywords:

Collaborative Filtering, Personalized Recommendation, Preference, Recommendation Algorithm, Trust

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* - Corresponding Author

References

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