유비쿼터스 환경에서 소셜 검색을 위한 레벨화된 데이터 처리 기법
Levelized Data Processing Method for Social Search in Ubiquitous Environment
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Social networking services have changed the way people communicate. Rapid growth ofinformation generated by social networking services requires effective search methods to giveuseful results. Over the last decade, social search methods have rapidly evolved. Traditionaltechniques become unqualified because they ignore social relation data. Existing socialrecommendation approaches consider social network structure, but social context has notbeen fully considered. Especially, the friend recommendation is an important feature of SNSs. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose a levelized data processing method for social search in ubiquitousenvironment. We study previous researches about social search methods in ubiquitousenvironment. Our method is a new paradigm of levelelized data processing method whichcan utilize information in social networks, using location and friendship weight. Severalexperiments are performed and the results verify that the proposed method’s performance isbetter than other existing method.
Abstract
Social networking services have changed the way people communicate. Rapid growth ofinformation generated by social networking services requires effective search methods to giveuseful results. Over the last decade, social search methods have rapidly evolved. Traditionaltechniques become unqualified because they ignore social relation data. Existing socialrecommendation approaches consider social network structure, but social context has notbeen fully considered. Especially, the friend recommendation is an important feature of SNSs. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose a levelized data processing method for social search in ubiquitousenvironment. We study previous researches about social search methods in ubiquitousenvironment. Our method is a new paradigm of levelelized data processing method whichcan utilize information in social networks, using location and friendship weight. Severalexperiments are performed and the results verify that the proposed method’s performance isbetter than other existing method.
참고문헌 (24)
- 노은직, "융합 서비스 접근에서의 국내소셜 네트워크 서비스 연구 동향 분석", 경영관리연구, 6(2) (2013)
- 안민제, "모바일 소셜 네트워크에서 인기도와 사용자 성향을 고려한 소셜 검색 기법", 정보과학회논문지 : 데이타베이스, 40(6), pp.397~405 (2013), 한국정보과학회
- 김영안, "효율적인 소셜 검색을 위한 토픽기반 소셜 관계 랭크 알고리즘", 한국통신학회논문지B, 38(5), pp.385~393 (2013), 한국통신학회
- M. V. Vieira, "Efficient search ranking in social networks", Proc. 16th ACM Conf. Inform. Knowledge Manage., pp.563~572 (2007)
- A. Mohan, "Web-search ranking with initialized gradient boosted regression trees", Proc. JMLR Workshop and Conf. Proc., 14, pp.77~89 (2011)
- E. Spertus, "Evaluating similarity measures: A large-scale study in the Orkut social newtork", Proc. 11th ACM Int. Conf. Knowledge Discovery in Data mining (ACM SIGKDD), pp.678~668 (2005)
- C. Dwyer, "Trust and privacy : A comparison of Facebook and MySpace", Proc. 13th Amer.Conf.Inform.Syst. (AMCIS) (2007)
- 소셜미디어의 성장과 온라인 사회관계의 진화, "이호영", 정보통신정책연구원, ~, pp.기본연구 11-04 (2011)
- 전련화, "소셜 네트워크 기반의 개인 맞춤형 정보추천 기법", 정보과학회 컴퓨팅의 실제 논문지, 19(12), pp.668~672 (2013), 한국정보과학회
- Boyd, d. m., "Social Network Sites: Definition, History, and Scholarship", Journal of Compute-Mediated Communication, 13(1), pp.210~230 (2008)
- "Facebook, 소셜 공유 데이터 통한 검색차별화 가능. 검색 패러다임 전환되나" (2012)[URL]
- 박병선, "그래프서치(Graph Search)를 통해 본 소셜검색의 발전과 시사점", 방송통신정책, 25(3)통권 : 548 (2013)
- 이동균, "최근 사용자 관심사를 고려한 소셜 검색 알고리즘", 한국정보기술학회논문지, 9(4), pp.187~194 (2011), 한국정보기술학회
- Mtibaa, A, "PeopleRank: Social Opportunistic Forwarding", INFOCOM, 2010 Proceedings IEEE, pp.1~5 (2010)
- Shai Erera, "SaND: Social and Network Discovery", Lucene Eurocon, ~ (2010)
- Andreas Hotho, "FolkRank: A ranking algorithm for folksonomies", Proceedings: LWA 2006 (2006)
- Liang Gou, "SNDocRank: a social network-based video search ranking framework", MIR Proceedings of the international conference on Multimedia information retrieval, pp.367~376 (2010)
- 김희연, "국내외 SNS의 현황과 사회적의미", 방송통신정책, 24(12), pp.19~42 (2012)
- P. Shankar, "Crowds Replace Experts : Building Better Location-based Services using Mobile Social Network Interactions", Proc. IEEE International Conference on Pervasive Computing and Communications, pp.20~29 (2012)
- A. Khodaei, "Social-Texual Search and Ranking", Proc. International Workshop on Crowdsourcing Web Search, pp.3~8 (2012)
- Y. Joung, "A Comparative Study of Expert Search Strategies in Online Social Networks", Proc. International Conference on Advanced Information Networking and Applications, pp.960~967 (2013)
- 김성림, "소셜 데이터를 위한 효율적인 데이터 처리 기법", (사)디지털산업정보학회 논문지, 9(3), pp.31~38 (2013), (사)디지털산업정보학회
- Paolo Cremonesi, "Performance of recommender algorithms on top-n recommendataion tasks", Proceedings of the fourth ACM conference on Recommender systems, RecSys 2010, pp.39~46 (2010)
- Danah M. Boy, "Social network sites: Definition, history, and scholarship", Journal of Computer‐Mediated Communication, 13(1), pp.210~230 (2008)