I think that Chris was actually recommending stuff that is too simple to call data-mining.
Basically this stuff is simpler than any machine learning algorithm so there isn't anything really to write. An example for recommendations is to simply recommend the most popular items to everybody, possibly with a bit of dithering so it doesn't look so static. This *is* actually a recommendation algorithm just like random selection is. Both of these provide interesting baseline levels for clicks and engagement. You *might* want to use Mahout to implement these, but it is probably better to get the rest of the framework in place first. On Tue, Aug 31, 2010 at 4:03 PM, hdev ml <[email protected]> wrote: > 3. Hhhmm..That seems like a very good suggestion. I am not averse to the > idea of writing my own implementation of mining algorithms. I am just > worried about their accuracy and stability. So summary is basically do the > transformation and statistical part first. When it comes to data mining, > write your own algorithms or use Mahout (if at all hive integration is > possible, or maybe reuse the raw text files or output dump of Hive tables) >
