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