public string EvaluateKNN()
{
var recommenderKNN = new MyMediaLite.RatingPrediction.ItemKNN();
recommenderKNN.Ratings = mydata;
recommenderKNN.Train();
return(recommenderKNN.DoCrossValidation().ToString());
}
//*********** ItemKNN Recommender - most similar items
public List <int> getMostSimilarItems(string dataset, int itemid, int recs)
{
var mydata = RatingData.Read(dataset);
//Create the recommender
var recommenderItemKNN = new MyMediaLite.RatingPrediction.ItemKNN();
//Give it the dataset
recommenderItemKNN.Ratings = mydata;
//Train it
recommenderItemKNN.Train();
/////////////
var item_recs = recommenderItemKNN.GetMostSimilarItems(itemid, (uint)recs);
// Print similar items
foreach (var i in item_recs)
{
mylist.Add(i);
}
return(mylist);
}
//*********** ItemKNN Recommender
public List <int> getBestItemsKNN(string dataset, int userid, int recs)
{
var mydata = RatingData.Read(dataset);
//Create the recommender
var recommenderItemKNN = new MyMediaLite.RatingPrediction.ItemKNN();
//Give it the dataset
recommenderItemKNN.Ratings = mydata;
//Train it
recommenderItemKNN.Train();
/////////////
// Make the predictions
var user_recs = recommenderItemKNN.Recommend(userid, recs);
// get the recommendations
foreach (var i in user_recs)
{
mylist.Add(i.Item1);
}
return(mylist);
}
