원문정보
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
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