TY - CONF AU - Yanbe, Yusuke AU - Jatowt, Adam AU - Nakamura, Satoshi AU - Tanaka, Katsumi A2 - T1 - Can social bookmarking enhance search in the web? T2 - JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries PB - ACM CY - New York, NY, USA PY - 2007/ M2 - VL - IS - SP - 107 EP - 116 UR - http://portal.acm.org/citation.cfm?id=1255198 M3 - http://doi.acm.org/10.1145/1255175.1255198 KW - tagging KW - taggingsurvey KW - folksonomy KW - bookmarking KW - search KW - toread L1 - SN - 978-1-59593-644-8 N1 - Can social bookmarking enhance search in the web? N1 - AB - Social bookmarking is an emerging type of a Web service that helps users share, classify, and discover interesting resources. In this paper, we explore the concept of an enhanced search, in which data from social bookmarking systems is exploited for enhancing search in the Web. We propose combining the widely used link-based ranking metric with the one derived using social bookmarking data. First, this increases the precision of a standard link-based search by incorporating popularity estimates from aggregated data of bookmarking users. Second, it provides an opportunity for extending the search capabilities of existing search engines. Individual contributions of bookmarking users as well as the general statistics of their activities are used here for a new kind of a complex search where contextual, temporal or sentiment-related information is used. We investigate the usefulness of social bookmarking systems for the purpose of enhancing Web search through a series of experiments done on datasets obtained from social bookmarking systems. Next, we show the prototype system that implements the proposed approach and we present some preliminary results. ER - TY - CONF AU - Yanbe, Yusuke AU - Jatowt, Adam AU - Nakamura, Satoshi AU - Tanaka, Katsumi A2 - T1 - Can social bookmarking enhance search in the web? T2 - JCDL '07: Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries PB - ACM CY - New York, NY, USA PY - 2007/ M2 - VL - IS - SP - 107 EP - 116 UR - http://portal.acm.org/citation.cfm?id=1255175.1255198 M3 - 10.1145/1255175.1255198 KW - tagging KW - sentiment KW - collaborative KW - folksonomy KW - search KW - web L1 - SN - 978-1-59593-644-8 N1 - N1 - AB - Social bookmarking is an emerging type of a Web service that helps users share, classify, and discover interesting resources. In this paper, we explore the concept of an enhanced search, in which data from social bookmarking systems is exploited for enhancing search in the Web. We propose combining the widely used link-based ranking metric with the one derived using social bookmarking data. First, this increases the precision of a standard link-based search by incorporating popularity estimates from aggregated data of bookmarking users. Second, it provides an opportunity for extending the search capabilities of existing search engines. Individual contributions of bookmarking users as well as the general statistics of their activities are used here for a new kind of a complex search where contextual, temporal or sentiment-related information is used. We investigate the usefulness of social bookmarking systems for the purpose of enhancing Web search through a series of experiments done on datasets obtained from social bookmarking systems. Next, we show the prototype system that implements the proposed approach and we present some preliminary results. ER - TY - CONF AU - Yanbe, Yusuke AU - Jatowt, Adam AU - Nakamura, Satoshi AU - Tanaka, Katsumi A2 - T1 - Can social bookmarking enhance search in the web? T2 - JCDL '07: Proceedings of the 2007 conference on Digital libraries PB - ACM Press CY - New York, NY, USA PY - 2007/ M2 - VL - IS - SP - 107 EP - 116 UR - http://portal.acm.org/citation.cfm?id=1255175.1255198 M3 - http://doi.acm.org/10.1145/1255175.1255198 KW - social_bookmarking KW - folksonomy KW - logsonomy KW - search L1 - SN - 978-1-59593-644-8 N1 - Can social bookmarking enhance search in the web? N1 - AB - ER -