Hi, Markus, I am curious why the competition still tries to predict the rating values, now that top k recommendation is more practical in real life applications, and it's illustrated by many papers that rating value prediction is not so useful for discovery of top k items.
Best Regards. Chen 2011/2/12, Markus Weimer <[email protected]>: > Hi, > > go for it! I'd do it myself but the rules we wrote prohibit me from > doing so ;-) > > Take care, > > Markus > > On 2/11/11 4:36 AM, Sean Owen wrote: >> While I may not spend time trying to win the first one, I'd be happy >> to run it through what we have so far and enter the results. It would >> be an interesting benchmark. >> >> On Fri, Feb 11, 2011 at 12:26 PM, Isabel Drost <[email protected]> wrote: >>> http://www.kdd.org/kdd2011/kddcup.shtml >>>> KDD-Cup 2011: Recommending Music Items based on the Yahoo! Music >>>> Dataset We challenge participants to identify user tastes in music by >>>> analyzing real ratings of Yahoo! Music anonymized users. The dataset >>>> represents a snapshot of the community's preferences for various >>>> musical items. >>> http://www.heritagehealthprize.com/competition.php >>>> The goal of the prize is to develop a predictive algorithm that can >>>> identify patients who will be admitted to the hospital within the >>>> next year, using historical claims data. >>> Isabel >>> > > -- Blog of chen_1st: http://www.douban.com/people/46225736/
