public string EvaluateGlobalAverage()
{
var recommenderGA = new MyMediaLite.RatingPrediction.GlobalAverage();
recommenderGA.Ratings = mydata;
recommenderGA.Train();
return(recommenderGA.DoCrossValidation().ToString());
}
//*********** GlobalAverage Recommender
public List <int> getBestItemsGlobalAverage(string dataset, int userid, int recs)
{
var mydata = RatingData.Read(dataset);
//Create the recommender
var recommenderGlobalAverage = new MyMediaLite.RatingPrediction.GlobalAverage();
//Give it the dataset
recommenderGlobalAverage.Ratings = mydata;
//Train it
recommenderGlobalAverage.Train();
/////////////
// Make the predictions
var user_recs = recommenderGlobalAverage.Recommend(userid, recs);
// get the recommendations
foreach (var i in user_recs)
{
mylist.Add(i.Item1);
}
return(mylist);
}
