Journal of Chemical and Pharmaceutical Research (ISSN : 0975-7384)

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Original Articles: 2015 Vol: 7 Issue: 3

Study on personal preferences mining method in O2O E-commerce model


In this paper, we studied the theory of personalized recommendation, compared the different recommendation technologies, and analyzed the applicability of several recommendation technologies to the O2O mode of e-commerce. And then an approach for mining personal context-aware preferences from the context-rich device logs, or context logs for short, and exploit these identified preferences for building personalized context-aware recommender systems was proposed. The experiment results show that the recommendation method put forward in the thesis is able to meet the demand of the O2O e-commerce mode.

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