Mahout currently has Collaborative Filtering User and Item based recommenders K-Means, Fuzzy K-Means clustering Mean Shift clustering Dirichlet process clustering Latent Dirichlet Allocation Singular value decomposition Parallel Frequent Pattern mining Complementary Naive Bayes classifier Random forest decision tree based classifier High performance java collections (previously colt collections) A vibrant community and many more cool stuff to come by this summer thanks to Google summer of code
Ultra-Star.de - Auf dieser Seite findet man alles rund um UltraStar - Das groesste deutsche Forum fuer Karaoke wie SingStar, eine Community, viele Fragen und Antworten, Anleitungen, Downloads also alles was man fuer UltraStar braucht! karaoke singstar ultrastar ultra-star
KeePass is an open source password manager. Passwords can be stored in highly-encrypted databases, which can be unlocked with one master password or key file.
Example of how to use RDFa markup to polish your products in Google Rich Snippets. Developed by Professor Hepp, the inventor of the GoodRelations standard for e-commerce.
Selbst vergebene Schlagwörter, Tags, können Internet-Nutzern dabei helfen, Informationen im Web zu ordnen und wiederzufinden. Miteinander verknüpft ergeben die Schlagwörter ein kollektives Begriffsnetzwerk. Informatikern der TU Graz ist es gelungen, einen Lösungsansatz für die Verlinkung dieser Daten zu entwickeln. ORF.at sprach mit dem Wissensmanagement-Experten Markus Strohmaier über Tagging und wie Internet-Nutzer damit ein "intelligenteres" Web schaffen können.
MemeTracker builds maps of the daily news cycle by analyzing around 900,000 news stories and blog posts per day from 1 million online sources, ranging from mass media to personal blogs.
We track the quotes and phrases that appear most frequently over time across this entire spectrum. This makes it possible to see how different stories compete for news and blog coverage each day, and how certain stories persist while others fade quickly.
The plot above shows the frequency of the top 50 quotes in the news and blogs over time, during the U.S. presidential election. For more read our paper:
J. Leskovec, L. Backstrom, J. Kleinberg. Meme-tracking and the Dynamics of the News Cycle. ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2009.