@inproceedings{sigurbjoernsson2008flickr, address = {New York, NY, USA}, author = {Sigurbjörnsson, Börkur and van Zwol, Roelof}, booktitle = {WWW '08: Proceeding of the 17th International Conference on World Wide Web}, doi = {http://doi.acm.org/10.1145/1367497.1367542}, interhash = {7baae91cfc1321c30d4dcc94a47af15f}, intrahash = {5fb3e6b2e645fb2e5871223cbe18db52}, isbn = {978-1-60558-085-2}, location = {Beijing, China}, pages = {327--336}, publisher = {ACM}, title = {Flickr tag recommendation based on collective knowledge}, url = {http://portal.acm.org/citation.cfm?id=1367497.1367542}, year = 2008 } @inproceedings{heymann2008social, abstract = {In this paper, we look at the "social tag prediction" problem. Given a set of objects, and a set of tags applied to those objects by users, can we predict whether a given tag could/should be applied to a particular object? We investigated this question using one of the largest crawls of the social bookmarking system del.icio.us gathered to date. For URLs in del.icio.us, we predicted tags based on page text, anchor text, surrounding hosts, and other tags applied to the URL. We found an entropy-based metric which captures the generality of a particular tag and informs an analysis of how well that tag can be predicted. We also found that tag-based association rules can produce very high-precision predictions as well as giving deeper understanding into the relationships between tags. Our results have implications for both the study of tagging systems as potential information retrieval tools, and for the design of such systems.}, address = {New York, NY, USA}, author = {Heymann, Paul and Ramage, Daniel and Garcia-Molina, Hector}, booktitle = {SIGIR '08: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval}, doi = {http://doi.acm.org/10.1145/1390334.1390425}, interhash = {bb9455c80cc9bd8cf95c951a1318dabc}, intrahash = {0e6023e192f539fe4fce9894b1fbca5a}, isbn = {978-1-60558-164-4}, location = {Singapore, Singapore}, pages = {531--538}, publisher = {ACM}, title = {Social tag prediction}, url = {http://portal.acm.org/citation.cfm?id=1390334.1390425}, year = 2008 } @inproceedings{1367657, abstract = {We present a system for personalized tag suggestion for Flickr: While the user is entering/selecting new tags for a particular picture, the system is suggesting related tags to her, based on the tags that she or other people have used in the past along with (some of) the tags already entered. The suggested tags are dynamically updated with every additional tag entered/selected. We describe three algorithms which can be applied to this problem. In experiments, our best-performing method yields an improvement in precision of 10-15% over a baseline method very similar to the system currently used by Flickr. Our system is accessible at http://ltaa5.epfl.ch/flickr-tags/. To the best of our knowledge, this is the first study on tag suggestion in a setting where (i) no full text information is available, such as for blogs, (ii) no item has been tagged by more than one person, such as for social bookmarking sites, and (iii) suggestions are dynamically updated, requiring efficient yet effective algorithms.}, address = {New York, NY, USA}, author = {Garg, Nikhil and Weber, Ingmar}, booktitle = {WWW '08: Proceeding of the 17th International Conference on World Wide Web}, doi = {http://doi.acm.org/10.1145/1367497.1367657}, interhash = {e967f2241dc588de1397ad2ee337e8f0}, intrahash = {de7a51056aadee86c12d3ee59b674f81}, isbn = {978-1-60558-085-2}, location = {Beijing, China}, pages = {1063--1064}, publisher = {ACM}, title = {Personalized tag suggestion for flickr}, url = {http://portal.acm.org/citation.cfm?id=1367657}, year = 2008 } @inproceedings{chirita2008ptag, abstract = {The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have become more and more popular and successful. Such tags are relevant keywords associated with or assigned to a piece of information (e.g., a Web page), describing the item and enabling keyword-based classification. In this paper we propose P-TAG, a method which automatically generates personalized tags for Web pages. Upon browsing a Web page, P-TAG produces keywords relevant both to its textual content, but also to the data residing on the surfer's Desktop, thus expressing a personalized viewpoint. Empirical evaluations with several algorithms pursuing this approach showed very promising results. We are therefore very confident that such a user oriented automatic tagging approach can provide large scale personalized metadata annotations as an important step towards realizing the Semantic Web.}, address = {New York, NY, USA}, author = {Chirita, Paul Alexandru and Costache, Stefania and Nejdl, Wolfgang and Handschuh, Siegfried}, booktitle = {WWW '07: Proceedings of the 16th International Conference on World Wide Web}, doi = {http://doi.acm.org/10.1145/1242572.1242686}, interhash = {93612f3a17257a5d0d73e95d59d0c408}, intrahash = {e4656fefb25cbbff07cfba226601a6e7}, isbn = {978-1-59593-654-7}, location = {Banff, Alberta, Canada}, pages = {845--854}, publisher = {ACM}, title = {P-TAG: large scale automatic generation of personalized annotation tags for the web}, url = {http://portal.acm.org/citation.cfm?id=1242686}, year = 2007 } @inproceedings{mishne06-autotag, abstract = {This paper describes AutoTag, a tool which suggests tags for weblog posts using collaborative filtering methods. An evaluation of AutoTag on a large collection of posts shows good accuracy; coupled with the blogger's final quality control, AutoTag assists both in simplifying the tagging process and in improving its quality.}, address = {New York, NY, USA}, author = {Mishne, Gilad}, booktitle = {WWW '06: Proceedings of the 15th International Conference on World Wide Web}, interhash = {62d370a3abfaed3469bd2ee6a8ef6473}, intrahash = {4094419a2f26ac85175ad48207311d61}, note = {paper presented at the poster track}, pages = {953--954}, publisher = {ACM Press}, title = {AutoTag: a collaborative approach to automated tag assignment for weblog posts}, url = {http://portal.acm.org/citation.cfm?id=1135777.1135961}, year = 2006 } @techreport{Vojnovic2007ranking, abstract = {We consider collaborative tagging systems where users can attach tags to information objects. Such systems are widely used to add keywords meta-data to photos, videos, or web pages (social bookmarking applications). The meta-data is then used by information retrieval mechanism to provide accurate query answers. To that end, the goal of collaborative tagging systems is to quickly discover the true ranking of a tag for an information object with respect to a given ranking criteria. In this paper, we consider the popularity rank as a ranking criteria. Many collaborative tagging systems help users tagging of an object by making suggestions based on the tagging history of an information object. The problem with making tag suggestions is that they may reinforce some tags and the system fails to discover the true popularity rank of a tag for a given information object. To investigate this issue, we propose and study several algorithms for ranking and suggesting tags in collaborative tagging systems where we focus on the following design objectives: (a) learn true popularity rank, (b) make relevant suggestions, and (c) learn fast. We find that simple incremental updates of the suggestion set, which besides suggestion set size require no configuration constants, offer good performance. Performance is evaluated by analysis and numerical results for which we used a dataset of complete tagging histories of urls that we crawled from a popular social bookmarking web service over a month period.}, author = {Vojnovic, M. and Cruise, J. and Gunawardena, D. and Marbach, P.}, date = {Feb 2007}, howpublished = {MSR-TR-2007-06}, institution = {Microsoft Research}, interhash = {687129a4106fab9a2cd1c032ae52fc73}, intrahash = {b2ca76b60ffbd28b55f3707085986e7a}, number = {MSR-TR-2007-06}, tech = {TR-2007-06}, title = {Ranking and Suggesting Tags in Collaborative Tagging Applications}, url = {http://research.microsoft.com/~milanv/MSR-TR-2007-06.pdf}, year = 2007 } @inproceedings{byde2007personalized, abstract = {This short paper describes a novel technique for generating personalized tag recommendations for users of social book- marking sites such as del.icio.us. Existing techniques recom- mend tags on the basis of their popularity among the group of all users; on the basis of recent use; or on the basis of simple heuristics to extract keywords from the url being tagged. Our method is designed to complement these approaches, and is based on recommending tags from urls that are similar to the one in question, according to two distinct similarity metrics, whose principal utility covers complementary cases.}, author = {Byde, Andrew and Wan, Hui and Cayzer, Steve}, booktitle = {Proceedings of the International Conference on Weblogs and Social Media}, interhash = {38aaca7e5b9c508a5901f4109dabaa69}, intrahash = {157846898c1c2a65c265a913ebac115a}, month = {March}, title = {Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics}, url = {http://www.icwsm.org/papers/paper47.html}, year = 2007 } @inproceedings{hassanmontero2006improving, address = {Merida, Spain}, author = {Hassan-Montero, Y. and Herrero-Solana, V.}, booktitle = {Proc. InSciT 2006}, day = {25--28}, interhash = {4458142370e3c6a4fe656af2f822a0dc}, intrahash = {99ffb0c3a76afe508f5ff6b219f72515}, month = Oct, title = {{Improving Tag-Clouds as Visual Information Retrieval Interfaces}}, year = 2006 } @article{gt06folksonomies, author = {Guy, Marieke and Tonkin, Emma}, doi = {10.1045/january2006-guy}, interhash = {535e0aea1bcbd7feb85a7495f284a589}, intrahash = {a62decf2da83f2d9e10ff7846296699b}, journal = {D-Lib Magazine}, month = {January}, note = {ISSN 1082-9873}, number = 1, title = {Folksonomies - Tidying up Tags?}, url = {http://dlib.org/dlib/january06/guy/01guy.html}, volume = 12, year = 2006 } @inproceedings{dkmnrt06visualizing, author = {Dubinko, M. and Kumar, R. and Magnani, J. and Novak, J. and Raghavan, P. and Tomkins, A.}, booktitle = {Proceedings of the 15th International WWW Conference}, day = {23-25}, interhash = {b9ff2f72831a1406013a86c8202d6276}, intrahash = {dc72abb1df242c52bf2c4fa19790dcec}, month = May, title = {Visualizing Tags over Time}, year = 2006 }