A Weight based Recommendation Technique using Customers' Psychological Patterns
Won-Ik Park, Young‐Kuk Kim · 2012
Today, the M-Commerce system in which the commercial transaction is possible through the mobile device anytime and anywhere was generalized. However, in various ways, the mobile device in which the portability is emphasized and which has the restrictive resource causes many inconveniences in the M-Commerce environments. Therefore, the recommendation system that is the method which it provides selectively the useful and helpful information is needed to the user and it accelerates the customer's consumption. The existing recommendation systems provide the information personalized through the visible only information including the user profile or the purchase record, and etc. However, in this paper, the recommendation system utilizing the non visible information like the psychological patterns information that is latent with the unconsciousness in the person is proposed. The psychological patterns can be a crucial factor in M-Commerce environments. To do this, we define score model for psychological patterns and propose a weight based recommendation technique using psychological patterns.