An efficient social search method based on location and user preferences in mobile environments

被引：0

作者：

Lee, Byoungyup ^{[1
]}

Ahn, Minje ^{[2
]}

Lim, Jongtae ^{[2
]}

Bok, Kyungsoo ^{[2
]}

Yoo, Jaesoo ^{[2
]}

机构：

[1] Paichai University, Korea, Republic of

[2] Chungbuk National University, Korea, Republic of

来源：

International Journal of Multimedia and Ubiquitous Engineering | 2015年 / 10卷 / 12期

关键词：

Location based service; Popularity; Social network; Social search; User preferences;

D O I：

10.14257/ijmue.2015.10.12.34

中图分类号：

学科分类号：

摘要：

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. © 2015 SERSC.

引用

页码：355 / 368

页数：13

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