ALOE http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=mryK2KS aloe-noreply@dfki.uni-kl.de Rafael http://aloe-project.de/AloeView/action/userData?userId=lzwX6la This feed contains recent activities on resource "Bee.tv Recommendation Engine for TV and Film" in [ALOE] http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=mryK2KS ALOE http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=mryK2KS aloe-noreply@dfki.uni-kl.de Rafael http://aloe-project.de/AloeView/action/userData?userId=lzwX6la http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=mryK2KS:6:2010-05-26 08:08:58.0 May 26, 2010 8:08:00 AM CEST: User <a href="http://aloe-project.de/AloeView/action/userData?userId=lzwX6la"><b>Rafael</b></a> contributed resource <a href="http://aloe-project.de/AloeView/action/resourceDetailed?resourceId=mryK2KS"><b>Bee.tv Recommendation Engine for TV and Film</b></a> with the following metadata:<br/><br/><i>creator</i>: <b>Curt Hopkins</b><br/><i>description</i>: <b>From shopping to music, the overload of information on the Web has been shaped and ordered by recommendation engines. One very important aspect of the online experience has ...</b><br/><i>license</i>: <b></b><br/><i>tags</i>: <b>recommender system tv film collaborative filtering semantic context theme</b><br/><i>title</i>: <b>Bee.tv Recommendation Engine for TV and Film</b><br/>