ALOE http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=mbsEfZR aloe-noreply@dfki.uni-kl.de Martin http://aloe-project.de/AloeView/action/userData?userId=lzwX6p3 This feed contains recent activities on resource "Latent Dirichlet Allocation for Tag Recommendation" in [ALOE] http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=mbsEfZR ALOE http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=mbsEfZR aloe-noreply@dfki.uni-kl.de Martin http://aloe-project.de/AloeView/action/userData?userId=lzwX6p3 http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=mbsEfZR:6:2009-12-06 14:26:16.0 December 6, 2009 2:26:00 PM CET: User <a href="http://aloe-project.de/AloeView/action/userData?userId=lzwX6p3"><b>Martin</b></a> contributed resource <a href="http://aloe-project.de/AloeView/action/resourceDetailed?resourceId=mbsEfZR"><b>Latent Dirichlet Allocation for Tag Recommendation</b></a> with the following metadata:<br/><br/><i>creator</i>: <b>Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl</b><br/><i>description</i>: <b>In this paper we introduce an approach based on Latent Dirichlet Allocation (LDA) for recommending tags of resources in order to improve search. Resources annotated by many users and thus equipped with a fairly stable and complete tag set are used to elicit latent topics to which new resources with only a few tags are mapped. Based on this, other tags belonging to a topic can be recommended for the new resource.</b><br/><i>license</i>: <b></b><br/><i>tags</i>: <b>recommendations tagging </b><br/><i>title</i>: <b>Latent Dirichlet Allocation for Tag Recommendation</b><br/>