@article{yanbe2007social, title = {Towards Improving Web Search by Utilizing Social Bookmarks}, author = {Yusuke Yanbe and Adam Jatowt and Satoshi Nakamura and Katsumi Tanaka}, journal = {Web Engineering}, pages = {343--357}, year = 2007, url = {http://dx.doi.org/10.1007/978-3-540-73597-7_28}, description = {SpringerLink - Book Chapter}, abstract = {Social bookmarking services have become recently popular in the Web. Along with the rapid increase in the amount of social bookmarks, future applications could leverage this data for enhancing search in the Web. This paper investigates the possibilityand potential benefits of a hybrid page ranking approach that would combine the ranking criteria of PageRank with the onebased on social bookmarks in order to improve the search in the Web. We demonstrate and discuss the results of analyticalstudy made in order to compare both popularity estimates. In addition, we propose a simple hybrid search method that combinesboth ranking metrics and we show some preliminary experiments using this approach. We hope that this study will shed new lighton the character of data in social bookmarking systems and foster development of new, effective search applications for theWeb.}, biburl = {http://www.bibsonomy.org/bibtex/24462cf1a0c1364eed97392196402735c/beate}, keywords = {folksonomy social-search web2.0} } @inproceedings{zhou2008social, title = {Exploring Social Annotations for Information Retrieval}, address = {Beijing, Peking}, author = {Ding Zhou and Jiang Bian and Shuyi Zheng and Giles Lee and Hongyuan Zha}, booktitle = {Proceedings of the 17th International World Wide Web Conference}, year = 2008, biburl = {http://www.bibsonomy.org/bibtex/252c7a6a81d20a8adf3e942d7b1fefc25/beate}, keywords = {annotation folksonomy ir social-search web2.0} } @inproceedings{xin2008www, title = {Tag-based Social Interest Discovery}, author = {Xin Li and Lei Guo and Yihong E. Zhao}, booktitle = {Proceedings of the 17th International World Wide Web Conference}, pages = {675-684}, publisher = {ACM}, year = 2008, url = {http://www2008.org/papers/pdf/p675-liA.pdf}, abstract = {The success and popularity of social network systems, such as del.icio.us, Facebook, MySpace, and YouTube, have generated many interesting and challenging problems to the research community. Among others, discovering social interests shared by groups of users is very important because it helps to connect people with common interests and encourages people to contribute and share more contents. The main challenge to solving this problem comes from the diffi- culty of detecting and representing the interest of the users. The existing approaches are all based on the online connections of users and so unable to identify the common interest of users who have no online connections. In this paper, we propose a novel social interest discovery approach based on user-generated tags. Our approach is motivated by the key observation that in a social network, human users tend to use descriptive tags to annotate the contents that they are interested in. Our analysis on a large amount of real-world traces reveals that in general, user-generated tags are consistent with the web content they are attached to, while more concise and closer to the understanding and judgments of human users about the content. Thus, patterns of frequent co-occurrences of user tags can be used to characterize and capture topics of user interests. We have developed an Internet Social Interest Discovery system, ISID, to discover the common user interests and cluster users and their saved URLs by different interest topics. Our evaluation shows that ISID can effectively cluster similar documents by interest topics and discover user communities with common interests no matter if they have any online connections.}, biburl = {http://www.bibsonomy.org/bibtex/242b4c94cff05ccef031235d661a7a77a/hotho}, keywords = {*** association clustering community del.icio.us detection folksonomy rules} } @inproceedings{Abbasi2008ITP, title = {Introducing Triple Play for Improved Resource Retrieval in Collaborative Tagging Systems}, author = {Rabeeh Abbasi and Steffen Staab}, booktitle = {Proceedings of ECIR'08 Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR 2008)}, month = 3, year = 2008, url = {http://www.uni-koblenz.de/~abbasi/publications/Abbasi2008ITP.pdf}, abstract = {Collaborative tagging systems (like Flickr, del.icio.us, citeulike, etc.) are becoming more popular with passage of time. Users share their resources on tagging systems, and add keywords (called tags) to these resources. Users can search resources using these tags. But as the user gives more tags for search, he might not get sufficient search results, because the resources might not be tagged with all the related tags. We introduce the method Triple Play, which smoothes the tag space by user space for improved retrieval of resources. As a part of Triple Play, we also propose two new vector space models for collaborative tagging systems, SmoothVSM Dense and SmoothVSM Sparse. These vector space models exploit the user-tag co-occurrence relationship to overcome the problem of missing information in tagging systems. Finally we apply Latent Semantic Analysis to different vector space models and analyze the results. Initial experimentation show that using additional information available in tagging systems helps in improving search in tagging systems.}, biburl = {http://www.bibsonomy.org/bibtex/26db5d828b6bef6963cdb0d41b7563548/dolefulrabbit}, keywords = {2008 abbasi collaborative ecir esair folksonomies folksonomy information retrieval search staab system tagging tagora tagorapub tripleplay} } @inproceedings{bateman07, title = {Applying Collaborative Tagging to E-Learning}, author = {Scott Bateman and Christopher Brooks and Gord McCalla and Peter Brusilovsky}, booktitle = {Tagging and Metadata for Social Information Organization Workshop, WWW07}, year = 2007, biburl = {http://www.bibsonomy.org/bibtex/2fca7d32b057cf5c8e5e7f6026a2019ba/ewomant}, keywords = {e-learning folksonomy} } @inproceedings{hotho2006information, title = {Information Retrieval in Folksonomies: Search and Ranking}, address = {Budva, Montenegro}, author = {Andreas Hotho and Robert Jäschke and Christoph Schmitz and Gerd Stumme}, booktitle = {Proceedings of the 3rd European Semantic Web Conference }, month = {June}, pages = {411-426}, publisher = {Springer}, series = {LNCS}, year = 2006, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/seach2006hotho_eswc.pdf}, isbn = {3-540-34544-2}, vgwort = {29}, description = {KDubiq Blueprint}, biburl = {http://www.bibsonomy.org/bibtex/2566686f518e43c993dc1854dc2b2b5e4/ewomant}, keywords = {Ranking folksonomy information_retrieval search} } @inproceedings{Hanger2007, title = {Collaborative Tagging als neuer Service von Hochschulbibliotheken}, author = {Christian H{\"a}nger and Christine Kr{\"a}tzsch}, booktitle = {Wissenschaftskommunikation der Zukunft 4. Konferenz der Zentralbibliothek}, editor = {Rafael Ball}, series = {Schriften des Forschungszentrums J{\"u}lich, Reihe Bibliothek / Library}, volume = 18, year = 2007, timestamp = {2008.05.06}, owner = {ewo}, biburl = {http://www.bibsonomy.org/bibtex/26b0b32b65926aab7a901ee6a5c12e2a1/ewomant}, keywords = {folksonomy library web2.0} } @article{Freeman1993, title = {{Using Galois Lattices to Represent Network Data}}, author = {L.C. Freeman and D.R. White}, journal = {Sociological Methodology}, pages = {127--146}, volume = 23, year = 1993, description = {2 mode networks / affiliation networks}, biburl = {http://www.bibsonomy.org/bibtex/250103469c4e839b6f05a522eaacaa3a8/chriskoerner}, keywords = {folksonomy lattices network} } @inproceedings{anti2008krause, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, author = {Beate Krause and Andreas Hotho and Gerd Stumme}, booktitle = {Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web}, year = 2008, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, biburl = {http://www.bibsonomy.org/bibtex/203d349d70b578ca9ac3155f661151868/cschenk}, keywords = {anti bibsonomy folksonomy paper read:2008 spam} } @inproceedings{anti2008krause, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, author = {Beate Krause and Andreas Hotho and Gerd Stumme}, booktitle = {Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web}, year = 2008, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, biburl = {http://www.bibsonomy.org/bibtex/203d349d70b578ca9ac3155f661151868/mtsyganov}, keywords = {bookmarking folksonomy social spam} }