@inproceedings{conf/www/SenVR09,
  author = {Sen, Shilad and Vig, Jesse and Riedl, John},
  booktitle = {WWW},
  crossref = {conf/www/2009},
  editor = {Quemada, Juan and León, Gonzalo and Maarek, Yoëlle S. and Nejdl, Wolfgang},
  ee = {http://doi.acm.org/10.1145/1526709.1526800},
  interhash = {4968b29a544394a5f9acd1bb8916e230},
  intrahash = {8d38bdb12f6f2f89bd3c34d200e48b72},
  isbn = {978-1-60558-487-4},
  pages = {671-680},
  publisher = {ACM},
  title = {Tagommenders: connecting users to items through tags.},
  url = {http://dblp.uni-trier.de/db/conf/www/www2009.html#SenVR09},
  year = 2009
}

@inproceedings{sen2006tagging,
  abstract = {A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.},
  address = {New York, NY, USA},
  author = {Sen, Shilad and Lam, Shyong K. and Rashid, Al Mamunur and Cosley, Dan and Frankowski, Dan and Osterhouse, Jeremy and Harper, F. Maxwell and Riedl, John},
  booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
  doi = {10.1145/1180875.1180904},
  file = {sen2006tagging.pdf:sen2006tagging.pdf:PDF},
  groups = {public},
  interhash = {96b20bffcbc91e528461529935524b90},
  intrahash = {582641c05e7a0b9396945a951822c83f},
  isbn = {1-59593-249-6},
  location = {Banff, Alberta, Canada},
  pages = {181--190},
  publisher = {ACM},
  timestamp = {2011-02-02 15:10:48},
  title = {tagging, communities, vocabulary, evolution},
  url = {http://portal.acm.org/citation.cfm?id=1180904},
  username = {dbenz},
  year = 2006
}

@inproceedings{vig2009tagsplanations,
  abstract = {While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improving user satisfaction to helping users make better decisions. This paper introduces tagsplanations, which are explanations based on community tags. Tagsplanations have two key components: tag relevance, the degree to which a tag describes an item, and tag preference, the user's sentiment toward a tag. We develop novel algorithms for estimating tag relevance and tag preference, and we conduct a user study exploring the roles of tag relevance and tag preference in promoting effective tagsplanations. We also examine which types of tags are most useful for tagsplanations.},
  address = {New York, NY, USA},
  author = {Vig, Jesse and Sen, Shilad and Riedl, John},
  booktitle = {IUI '09: Proceedings of the 13th International Conference on Intelligent User Interfaces},
  doi = {10.1145/1502650.1502661},
  interhash = {dabcca79d5af180632a26ff292859671},
  intrahash = {ed47adb106d45bb3ac20dd78c603532e},
  isbn = {978-1-60558-168-2},
  location = {Sanibel Island, Florida, USA},
  pages = {47--56},
  publisher = {ACM},
  title = {Tagsplanations: explaining recommendations using tags},
  url = {http://portal.acm.org/citation.cfm?id=1502661},
  year = 2009
}

@inproceedings{citeulike:965334,
  address = {New York, NY, USA},
  author = {Sen, Shilad and Lam, Shyong K. and Rashid, Al M. and Cosley, Dan and Frankowski, Dan and Osterhouse, Jeremy and Harper, Maxwell F. and Riedl, John},
  booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
  citeulike-article-id = {965334},
  doi = {10.1145/1180875.1180904},
  interhash = {4f52a489eb6a696353d083b4d81b1fed},
  intrahash = {25f189ea6ed05c1df70cd58a053b9798},
  isbn = {1595932496},
  pages = {181--190},
  posted-at = {2009-04-01 05:03:08},
  priority = {4},
  publisher = {ACM Press},
  title = {tagging, communities, vocabulary, evolution},
  url = {http://dx.doi.org/10.1145/1180875.1180904},
  year = 2006
}

@inproceedings{1502661,
  abstract = {While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improving user satisfaction to helping users make better decisions. This paper introduces tagsplanations, which are explanations based on community tags. Tagsplanations have two key components: tag relevance, the degree to which a tag describes an item, and tag preference, the user's sentiment toward a tag. We develop novel algorithms for estimating tag relevance and tag preference, and we conduct a user study exploring the roles of tag relevance and tag preference in promoting effective tagsplanations. We also examine which types of tags are most useful for tagsplanations.},
  address = {New York, NY, USA},
  author = {Vig, Jesse and Sen, Shilad and Riedl, John},
  booktitle = {IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces},
  doi = {http://doi.acm.org/10.1145/1502650.1502661},
  interhash = {a6d866cf13c75130c1969c9e40606fd1},
  intrahash = {1e74fa227a24f49d8f6b17a02ea96db5},
  isbn = {978-1-60558-168-2},
  location = {Sanibel Island, Florida, USA},
  pages = {47--56},
  publisher = {ACM},
  title = {Tagsplanations: explaining recommendations using tags},
  url = {http://portal.acm.org/citation.cfm?id=1502650.1502661},
  year = 2008
}

@incollection{schafer07,
  abstract = {One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items through the opinions of other people. CF technology brings together the opinions of large interconnected communities on the web, supporting filtering of substantial quantities of data. In this chapter we introduce the core concepts of collaborative filtering, its primary uses for users of the adaptive web, the theory and practice of CF algorithms, and design decisions regarding rating systems and acquisition of ratings. We also discuss how to evaluate CF systems, and the evolution of rich interaction interfaces. We close the chapter with discussions of the challenges of privacy particular to a CF recommendation service and important open research questions in the field.},
  address = {Berlin, Heidelberg},
  author = {Schafer, J. Ben and Frankowski, Dan and Herlocker, Jon and Sen, Shilad},
  booktitle = {The Adaptive Web: Methods and Strategies of Web Personalization},
  chapter = 9,
  editor = {Brusilovsky, Peter and Kobsa, Alfred and Nejdl, Wolfgang},
  file = {SpringerLink:2007/SchaferFrankowskiEtAl07p291.pdf:PDF},
  interhash = {bccec4b3f6845eff4966c5cab3315509},
  intrahash = {1c611c2e32fb3b735c3adcd413e95201},
  isbn = {978-3-540-72078-2},
  owner = {flint},
  pages = {291-324},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2008.02.10},
  title = {Collaborative Filtering Recommender Systems},
  url = {http://dx.doi.org/10.1007/978-3-540-72079-9_9},
  volume = 4321,
  year = 2007
}

@inproceedings{sen2006tagging,
  abstract = {A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.},
  address = {New York, NY, USA},
  author = {Sen, Shilad and Lam, Shyong K. and Rashid, Al Mamunur and Cosley, Dan and Frankowski, Dan and Osterhouse, Jeremy and Harper, F. Maxwell and Riedl, John},
  booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
  doi = {http://doi.acm.org/10.1145/1180875.1180904},
  interhash = {96b20bffcbc91e528461529935524b90},
  intrahash = {582641c05e7a0b9396945a951822c83f},
  isbn = {1-59593-249-6},
  location = {Banff, Alberta, Canada},
  pages = {181--190},
  publisher = {ACM},
  title = {tagging, communities, vocabulary, evolution},
  url = {http://portal.acm.org/citation.cfm?id=1180904},
  year = 2006
}

@inproceedings{1180904,
  abstract = {A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.},
  address = {New York, NY, USA},
  author = {Sen, Shilad and Lam, Shyong K. and Rashid, Al Mamunur and Cosley, Dan and Frankowski, Dan and Osterhouse, Jeremy and Harper, F. Maxwell and Riedl, John},
  booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
  doi = {http://doi.acm.org/10.1145/1180875.1180904},
  interhash = {96b20bffcbc91e528461529935524b90},
  intrahash = {582641c05e7a0b9396945a951822c83f},
  isbn = {1-59593-249-6},
  location = {Banff, Alberta, Canada},
  pages = {181--190},
  publisher = {ACM},
  title = {tagging, communities, vocabulary, evolution},
  url = {http://portal.acm.org/citation.cfm?id=1180904},
  year = 2006
}

@inproceedings{1180904,
  abstract = {A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.},
  address = {New York, NY, USA},
  author = {Sen, Shilad and Lam, Shyong K. and Rashid, Al Mamunur and Cosley, Dan and Frankowski, Dan and Osterhouse, Jeremy and Harper, F. Maxwell and Riedl, John},
  booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
  doi = {http://doi.acm.org/10.1145/1180875.1180904},
  interhash = {96b20bffcbc91e528461529935524b90},
  intrahash = {582641c05e7a0b9396945a951822c83f},
  isbn = {1-59593-249-6},
  location = {Banff, Alberta, Canada},
  pages = {181--190},
  publisher = {ACM},
  title = {tagging, communities, vocabulary, evolution},
  url = {http://portal.acm.org/citation.cfm?id=1180904},
  year = 2006
}