Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A Study on Contents Preference Prediction Method using Tags based on Content-based Filtering

Tag를 이용한 CBF방식의 컨텐츠 선호도 예측 방법

  • Um, Tae-Kwang (Application S/W Lab., Digital Media R&D Center, Digital Media Business, SAMSUNG Electronics Co.,Ltd.) ;
  • Choi, Sung-Hwan (Application S/W Lab., Digital Media R&D Center, Digital Media Business, SAMSUNG Electronics Co.,Ltd.) ;
  • Lee, Jae-Hwang (Application S/W Lab., Digital Media R&D Center, Digital Media Business, SAMSUNG Electronics Co.,Ltd.)
  • 엄태광 (삼성전자 DM연구소 Application S/W Lab.) ;
  • 최성환 (삼성전자 DM연구소 Application S/W Lab.) ;
  • 이재황 (삼성전자 DM연구소 Application S/W Lab.)
  • Published : 2008.06.18
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Abstract

A content recommendation according to users preferences comes up in the Internet application due to contents overwhelming. This paper newly proposes a method to predict contents preference using tags in conjunction with Content-Based Filtering. By implementing this method, this paper cleans up the contents sparsity problem in Content-Based Filtering, and shows the outstanding improvements.

Keywords