On Mon, Oct 19, 2009 at 6:04 PM, Sean Owen <[email protected]> wrote: > Yes this should be pretty easy. GroupLensRecommender is simply an > implementation of Recommender which is appropriate for this example. > It uses GroupLensDataModel, and SlopeOneRecommender. It's just a class > which you can find under the examples/ module. There is nothing more > to it than this. > >
ok great, I guess I forgot to look sufficiently at the following steps, I am doing this on a windows machine. Is this possible and practical regarding the next step? mvn jetty:run-war. You may need to give Maven more memory: in a bash shell, export MAVEN_OPTS=-Xmx1024Mep and also doesn't the following require tomcat to be running? (not a big problem, but it's listed as optional) If so, does taste somehow automatically find the tomcat service, in other words, it tells tomcat to look at certain taste directories, or something? (sorry, my server knowledge at the present is limited to static apache web server where we point the server to htdocs). In other words, I don't have to onfigure tomcat Get recommendations by accessing the web application in your browser: http://localhost:8080/RecommenderServlet?userID=1 This will produce a simple preference-item ID list which could be consumed by a client application. Get more useful human-readable output with the debug parameter: http://localhost:8080/RecommenderServlet?userID=1&debug=true > On Tue, Oct 20, 2009 at 2:01 AM, Brian Wolf <[email protected]> wrote: > > Thanks Owen. > > > > My next question is this step from the tutorial: > > > > Edit recommender.properties and fill in the recommender.class: > > > recommender.class=org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender > > > > > > It seems this is already in the file, or only needs to be uncommented. > My > > question is > > what is "GroupLensRecommender". I googled on it but didn't find any > > reference except the tutorial? > > > > Brian > > >
