Tagsplanations: explaining recommendations using tags
J. Vig, S. Sen, und J. Riedl.
IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces, Seite 47--56. New York, NY, USA, ACM, (2008)

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.

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http://portal.acm.org/citation.cfm?id=1502650.1502661

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@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.},
  added-at = {2009-02-12T22:30:20.000+0100},
  address = {New York, NY, USA},
  author = {Vig, Jesse and Sen, Shilad and Riedl, John},
  biburl = {https://puma.uni-kassel.de/bibtex/21e74fa227a24f49d8f6b17a02ea96db5/hotho},
  booktitle = {IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces},
  description = {Tagsplanations},
  doi = {http://doi.acm.org/10.1145/1502650.1502661},
  interhash = {a6d866cf13c75130c1969c9e40606fd1},
  intrahash = {1e74fa227a24f49d8f6b17a02ea96db5},
  isbn = {978-1-60558-168-2},
  keywords = {folksonomy recommender tagging taggingsurvey toread},
  location = {Sanibel Island, Florida, USA},
  pages = {47--56},
  publisher = {ACM},
  timestamp = {2012-01-25T16:44:23.000+0100},
  title = {Tagsplanations: explaining recommendations using tags},
  url = {http://portal.acm.org/citation.cfm?id=1502650.1502661},
  year = 2008
}

%0 Conference Paper
%1 1502661
%A Vig, Jesse
%A Sen, Shilad
%A Riedl, John
%B IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces
%C New York, NY, USA
%D 2008
%I ACM
%K folksonomy recommender tagging taggingsurvey toread
%P 47--56
%R http://doi.acm.org/10.1145/1502650.1502661
%T Tagsplanations: explaining recommendations using tags
%U http://portal.acm.org/citation.cfm?id=1502650.1502661
%X 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.
%@ 978-1-60558-168-2

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Tagsplanations: explaining recommendations using tags
J. Vig, S. Sen, und J. Riedl.
IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces, Seite 47--56. New York, NY, USA, ACM, (2008)

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Tagsplanations: explaining recommendations using tagsJ. Vig, S. Sen, und J. Riedl. IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces, Seite 47--56. New York, NY, USA, ACM, (2008)

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Tagsplanations: explaining recommendations using tags
J. Vig, S. Sen, und J. Riedl.
IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces, Seite 47--56. New York, NY, USA, ACM, (2008)