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复制代码 代码如下:
using System;
using ric;
using ;
using ;
namespace SlopeOne
{
public class Rating
{
public float Value { get; set; }
public int Freq { get; set; }
public float AverageValue
{
get { return Value / Freq; }
}
}
public class RatingDifferenceCollection : Dictionary
{
private string GetKey(int Item1Id, int Item2Id)
{
return (Item1Id < Item2Id) ? Item1Id + "/" + Item2Id : Item2Id + "/" + Item1Id ;
}
public bool Contains(int Item1Id, int Item2Id)
{
return ains(GetKey(Item1Id, Item2Id));
}
public Rating this[int Item1Id, int Item2Id]
{
get {
return this[ey(Item1Id, Item2Id)];
}
set { this[ey(Item1Id, Item2Id)] = value; }
}
}
public class SlopeOne
{
public RatingDifferenceCollection _DiffMarix = new RatingDifferenceCollection(); // The dictionary to keep the diff matrix
public HashSet_Items = new HashSet(); // Tracking how many items totally
public void AddUserRatings(IDictionaryuserRatings)
{
foreach (var item1 in userRatings)
{
int item1Id = ;
float item1Rating = e;
_();
foreach (var item2 in userRatings)
{
if ( <= item1Id) continue; // Eliminate redundancy
int item2Id = ;
float item2Rating = e;
Rating ratingDiff;
if (_ains(item1Id, item2Id))
{
ratingDiff = _DiffMarix[item1Id, item2Id];
}
else
{
ratingDiff = new Rating();
_DiffMarix[item1Id, item2Id] = ratingDiff;
}
e += item1Rating - item2Rating;
+= 1;
}
}
}
// Input ratings of all users
public void AddUerRatings(IListRatings)
{
foreach(var userRatings in Ratings)
{
AddUserRatings(userRatings);
}
}
public IDictionaryPredict(IDictionaryuserRatings)
{
DictionaryPredictions = new Dictionary();
foreach (var itemId in this._Items)
{
if (ains(itemId)) continue; // User has rated this item, just skip it
Rating itemRating = new Rating();
foreach (var userRating in userRatings)
{
if ( == itemId) continue;
int inputItemId = ;
if (_ains(itemId, inputItemId))
{
Rating diff = _DiffMarix[itemId, inputItemId];
e += * (e + ageValue * ((itemId < inputItemId) ? 1 : -1));
+= ;
}
}
(itemId, ageValue);
}
return Predictions;
}
public static void Test()
{
SlopeOne test = new SlopeOne();
DictionaryuserRating = new Dictionary();
(1, 5);
(2, 4);
(3, 4);
serRatings(userRating);
userRating = new Dictionary();
(1, 4);
(2, 5);
(3, 3);
(4, 5);
serRatings(userRating);
userRating = new Dictionary();
(1, 4);
(2, 4);
(4, 5);
serRatings(userRating);
userRating = new Dictionary();
(1, 5);
(3, 4);
IDictionaryPredictions = ict(userRating);
foreach (var rating in Predictions)
{
eLine("Item " + + " Rating: " + e);
}
}
}
}