Ooops a several typos corrected below
On Mar 7, 2015, at 7:05 AM, Pat Ferrel p...@occamsmachete.com wrote:
The new cooccurrence recommender can use context as part of the user history,
or as a method to bias or filter results. In any case you want to record all
actions. Filtering results is
Thanks for your reply!
Actually, the context in pre-filtering serves as a query for selecting
relevant data. An example of a contextual data filter for a movie
recommender system would be: if a person wants to see a movie on Saturday,
only the Saturday rating data is used to recommend movies.
The new cooccurrence recommender can use context as part of the user history,
or as a method to bias or filter results. In any case you want to record all
actions. Filtering results is easy and tossing all data but for one day of the
week will reduce your cooccurrences and the quality of your
Hi,
I've noticed a problem in the non-Hadoop (taste) version of the
recommender package. The problem is in the AbstractSimilarity (in
package org.apache.mahout.cf.taste.impl.similarity).
This class is the base class for computing the similarity values
between vectors of users or items. It
