Earticle

초록

영어

Due to advances in mobile networks and smartphone popularity in recent years, users can now connect to the internet anytime from anywhere and social searches are becoming popularly. Unlike conventional web searches, the social search provides optimal search results according to user preferences. In this paper, we propose a mobile social search method based on popularities and user preferences. The popularity is calculated by collecting the visiting records of users. The user preferences are generated by the actual visiting information among the search results. We process a skyline query to extract the meaningful information from the candidate objects with multiple features. The proposed method ranks social search results by combining user preferences and popularity with the skyline query processing mechanism. To show the superiority of the proposed method, we compare it with the existing method through performance evaluation.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Proposed Social Search Method
  3.1. System Structure of the Proposed Method
  3.2. Database Schemas
  3.3. Candidate Result Generation
  3.4. Ranking Algorithm
 4. Performance Evaluation
  4.1. Experiment Environment
  4.2. Evaluation Results
  4.3. Network Lifetime
 5. Conclusions
 References

키워드

저자

• Byoungyup Lee [ Paichai University ]
• Minje Ahn [ Chungbuk National University ]
• Jongtae Lim [ Chungbuk National University ]
• Kyungsoo Bok [ Chungbuk National University ]
• Jaesoo Yoo [ Chungbuk National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605