Difference between revisions of "Tag recommendation"
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| − | '''Tag recommendation''' is the task of predicting folksonomy | + | '''Tag recommendation''' is the task of predicting [[folksonomy]] [[tag]]s for a given [[user]] and [[item]], based on past user behavior (and possibly other information). |
| − | [[Category:Task]] | + | == Literature == |
| + | * [[Robert Jäschke]], [[Leandro Balby Marinho]], [[Andreas Hotho]], [[Lars Schmidt-Thieme]], [[Gerd Stumme]]: ''[http://www.kde.cs.uni-kassel.de/pub/pdf/jaeschke2008tag.pdf Tag recommendations in folksonomies]''. AI Commun. 2008 | ||
| + | * [[Börkur Sigurbjörnsson]], [[Roelof van Zwol]]: ''[http://research.yahoo.net/files/WWW08.pdf Flickr Tag Recommendation based on Collective Knowledge]'', WWW 2008 | ||
| + | * [[Steffen Rendle]], [[Lars Schmidt-Thieme]]: ''[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.165.9262&rep=rep1&type=pdf Pairwise interaction tensor factorization for personalized tag recommendation]'', WSDM 2010 | ||
| + | * [[Marek Lipczak]], [[Evangelos Milios]]: ''[http://web.cs.dal.ca/~lipczak/publications/Lipczak10tagRecommendation.pdf Learning in efficient tag recommendation]'', [[RecSys 2010]] | ||
| + | |||
| + | == See also == | ||
| + | * [[BibSonomy]] | ||
| + | * [[Delicious]] | ||
| + | * [[:Category: Tag recommendation]] | ||
| + | |||
| + | [[Category: Task]] | ||
| + | [[Category: Tag recommendation| ]] | ||
Latest revision as of 11:49, 30 May 2012
Tag recommendation is the task of predicting folksonomy tags for a given user and item, based on past user behavior (and possibly other information).
Literature
- Robert Jäschke, Leandro Balby Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme: Tag recommendations in folksonomies. AI Commun. 2008
- Börkur Sigurbjörnsson, Roelof van Zwol: Flickr Tag Recommendation based on Collective Knowledge, WWW 2008
- Steffen Rendle, Lars Schmidt-Thieme: Pairwise interaction tensor factorization for personalized tag recommendation, WSDM 2010
- Marek Lipczak, Evangelos Milios: Learning in efficient tag recommendation, RecSys 2010
