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사용자 컨텍스트와 태그를 이용한 소셜 검색 시스템의 설계 및 구현

Design and Implementation of Social Search System using user Context and Tag

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초록

Recently, Social Network services(SNS) is gaining popularity as Facebook and Twitter. Popularity of SNS leads to active service and social data is to be increased. Thus, social search is remarkable that provide more meaningful information to users. but previous studies using social network structure, network distance is calculated using only familiarity. It is familiar as distance on network, has been demonstrated through several experiments. If taking advantage of social context data that users are using SNS to produce, then familiarity will be helpful to evaluate further. In this paper, reflect user’s attention through comments and tags, Facebook context is determined using familiarity between friends in SNS. Facebook context is advantageous finding a friend who has a similar propensity users in context of profiles and interests. As a result, we provide a blog post that interest with a close friend. We also assist in the retrieval facilities using Near Field Communication(NFC) technology. By the experiment, we show the proposed soicial search method is more effective than only tag.

Abstract

Recently, Social Network services(SNS) is gaining popularity as Facebook and Twitter. Popularity of SNS leads to active service and social data is to be increased. Thus, social search is remarkable that provide more meaningful information to users. but previous studies using social network structure, network distance is calculated using only familiarity. It is familiar as distance on network, has been demonstrated through several experiments. If taking advantage of social context data that users are using SNS to produce, then familiarity will be helpful to evaluate further. In this paper, reflect user’s attention through comments and tags, Facebook context is determined using familiarity between friends in SNS. Facebook context is advantageous finding a friend who has a similar propensity users in context of profiles and interests. As a result, we provide a blog post that interest with a close friend. We also assist in the retrieval facilities using Near Field Communication(NFC) technology. By the experiment, we show the proposed soicial search method is more effective than only tag.

참고문헌 (17)

  1. Stephen P. Borgatti, "A Relational View of Information Seeking and Learning of Social Networks", Management Science, 49(4), pp.433~435 (2003)
  2. Meredith Ringel Morris, "What Do People Ask Their Social Networks, and Why?", Conference on Human Factors in Computing Systems, Proceedings of the 28th international conference on Human factors in computing systems, pp.1739~1748 (2010)
  3. Tom Crecelius, "making SENSE : Socially ENhanced Search and Exploration", PVLDB 08, ~ (2008)
  4. Ralf Schenkel, "Social Wisdom for Search and Recommendation", IEEE Data Eng. Bull, 31(2), pp.40~49 (2008)
  5. 김성림, "Recommendation Method for Social Service in Ubiquitous Environment", (사)디지털산업정보학회 논문지, 7(2), pp.19~27 (2011), (사)디지털산업정보학회
  6. 이동균, "최근 사용자 관심사를 고려한 소셜 검색 알고리즘", 한국정보기술학회논문지, 9(4), pp.187~194 (2011), 한국정보기술학회
  7. B Carterette, "Evaluating Web Search Engines Using Clickthrough Data" (2007), SIGIR
  8. David Carmel, "Personalized Social Search Based on the User’s Social Network", Conference on Information and Knowledge Management, Proceeding of the 18th ACM conference on Information and knowledge management, pp.1227~1236 (2009)
  9. Ralf S, "Social Wisdom for Search and Recommendation", Max-Plank Institute for Infomatics, ~ (2007)
  10. Shenghua Bao, "Optimizing Web Search Using Social Annotations", International World Wide Web Conference, Proceedings of the 16th international conference on World Wide Web, pp.501~510 (2007)
  11. Liang Gou, "SNDocRank: a social network-based video search ranking framework", MIR ’10 Proceedings of the international conference on Multimedia information retrieval, pp.367~376 (2010)
  12. Stefan Siersdorfer, "Social recommender systems for web 2.0 folksonomies", Conference on Hypertext and Hypermedia, Proceedings of the 20th ACM conference on Hypertext and hype, pp.261~270 (2009)
  13. SocialFusion: Context-Aware Inference and Recommendation by Fusing Mobile, Sensor, and Social Data, "Aaron Beach", University of Colorado at Boulder, ~, pp.Technical Report CU-CS 1059-09 (2009)
  14. Matthias Bender, "Explotiong Social Relations for Query Expansion and Result Ranking", Data Engineering Workshop, ICDEW, IEEE 24th International conferencce on, pp.501~506 (2008)
  15. 육지애, "소셜 네트워크 서비스의 활용방안 연구 : 트위터를 중심으로", (사)디지털산업정보학회 논문지, 7(1), pp.85~93 (2011), (사)디지털산업정보학회
  16. Finkenzeller K, "RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification. Second Edition - Chichester", pp.446~ (2003), John Wiley & Sons, Ltd
  17. Kalervo Järvelin, "Cumulated Gain-Based Evaluation of IR Techniques", ACM Transactions on Information Systems, 20(Issue 4), pp.422~446 (2002)

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