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A Method to utilize Inner and Outer SNS Method for Analyzing Preferences

선호도 분석을 위한 내·외부 SNS 활용기법

  • Received : 2015.08.25
  • Accepted : 2015.10.28
  • Published : 2015.12.31

Abstract

Shopping patterns are changing with the emergence of SNS. Recently, it is also interested in providing the information based on the users' needs. Generally, the provided information is obtained from the history of users' simple browsing. Best selling hot item list is also provided in order to reflect the preferences of public users. However, the provided information is irrelevant to an individual preference. In this paper, we propose a method to utilize inner and outer SNS for analyzing public preferences about goods which are interested by individual users. The inner analyzing module collects and analyzes the preferences of community members about two goods designated by individual users. The outer analyzing module supports to analyze public preferences by using the tweeter SNS. The results of implementation show that it is possible to recommend goods based on the individual users' preferences unlike the existing shopping mall.

Keywords

Needs Analysis;Mobile System;User Designated Preference;SNS

References

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Cited by

  1. Eye-tracking and social behavior preference-based recommendation system pp.1573-0484, 2018, https://doi.org/10.1007/s11227-018-2447-x