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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Sen, S., Lam, S.K., Rashid, A.M., Cosley, D., Frankowski, D., Osterhouse, J., Harper, F.M. & Riedl, J. tagging, communities, vocabulary, evolution 2006 CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, pp. 181-190  inproceedings DOI URL 
    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.
    BibTeX:
    @inproceedings{sen2006tagging,
      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},
      title = {tagging, communities, vocabulary, evolution},
      booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
      publisher = {ACM},
      year = {2006},
      pages = {181--190},
      url = {http://portal.acm.org/citation.cfm?id=1180904},
      doi = {http://dx.doi.org/10.1145/1180875.1180904}
    }
    
    Sen, S., Lam, S.K., Rashid, A.M., Cosley, D., Frankowski, D., Osterhouse, J., Harper, F.M. & Riedl, J. tagging, communities, vocabulary, evolution 2006 CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, pp. 181-190  inproceedings DOI URL 
    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.
    BibTeX:
    @inproceedings{sen2006tagging,
      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},
      title = {tagging, communities, vocabulary, evolution},
      booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
      publisher = {ACM},
      year = {2006},
      pages = {181--190},
      url = {http://portal.acm.org/citation.cfm?id=1180904},
      doi = {http://doi.acm.org/10.1145/1180875.1180904}
    }
    
    Sen, S., Lam, S.K., Rashid, A.M., Cosley, D., Frankowski, D., Osterhouse, J., Harper, F.M. & Riedl, J. tagging, communities, vocabulary, evolution 2006 CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, pp. 181-190  inproceedings DOI URL 
    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.
    BibTeX:
    @inproceedings{1180904,
      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},
      title = {tagging, communities, vocabulary, evolution},
      booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
      publisher = {ACM},
      year = {2006},
      pages = {181--190},
      url = {http://portal.acm.org/citation.cfm?id=1180904},
      doi = {http://doi.acm.org/10.1145/1180875.1180904}
    }
    
    Sen, S., Lam, S.K., Rashid, A.M., Cosley, D., Frankowski, D., Osterhouse, J., Harper, F.M. & Riedl, J. tagging, communities, vocabulary, evolution 2006 CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, pp. 181-190  inproceedings DOI URL 
    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.
    BibTeX:
    @inproceedings{1180904,
      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},
      title = {tagging, communities, vocabulary, evolution},
      booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
      publisher = {ACM},
      year = {2006},
      pages = {181--190},
      url = {http://portal.acm.org/citation.cfm?id=1180904},
      doi = {http://doi.acm.org/10.1145/1180875.1180904}
    }
    
    McNee, S.M., Albert, I., Cosley, D., Gopalkrishnan, P., Lam, S.K., Rashid, A.M., Konstan, J.A. & Riedl, J. On the recommending of citations for research papers 2002 Proceedings of the 2002 ACM conference on Computer supported cooperative work, pp. 116-125  inproceedings DOI URL 
    Abstract: Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend research papers, using the citation web between papers to create the ratings matrix. Specifically, we tested the ability of collaborative filtering to recommend citations that would be suitable additional references for a target research paper. We investigated six algorithms for selecting citations, evaluating them through offline experiments against a database of over 186,000 research papers contained in ResearchIndex. We also performed an online experiment with over 120 users to gauge user opinion of the effectiveness of the algorithms and of the utility of such recommendations for common research tasks. We found large differences in the accuracy of the algorithms in the offline experiment, especially when balanced for coverage. In the online experiment, users felt they received quality recommendations, and were enthusiastic about the idea of receiving recommendations in this domain.
    BibTeX:
    @inproceedings{mcnee2002recommending,
      author = {McNee, Sean M. and Albert, Istvan and Cosley, Dan and Gopalkrishnan, Prateep and Lam, Shyong K. and Rashid, Al Mamunur and Konstan, Joseph A. and Riedl, John},
      title = {On the recommending of citations for research papers},
      booktitle = {Proceedings of the 2002 ACM conference on Computer supported cooperative work},
      publisher = {ACM},
      year = {2002},
      pages = {116--125},
      url = {http://doi.acm.org/10.1145/587078.587096},
      doi = {http://dx.doi.org/10.1145/587078.587096}
    }
    

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