public static List <double> MoviesBasedOnUserProfile(int userSK, int mSK)
{
List <double> EvalData = new List <double>();
var Movies = GraphConfig.GraphClient.Cypher
.Match("(p:UserDim { UserSK: {userSK}})<-[e: ratedUser]-(f:FactTable{flag:0})-[g: ratedMovie]->(h:MovieDim)")
.With("SQRT(REDUCE(xDot = 0.0, a IN COLLECT(f.Rating - h.avgRate) | xDot + a^2)) AS xLength")
.OptionalMatch("(p1:UserDim { UserSK: {userSK}})<-[x: ratedUser]-(f1:FactTable{flag:0})-[r1: ratedMovie]->(m:MovieDim)<-[r2: ratedMovie]-(f2:FactTable)-[y: ratedUser]->(p2:UserDim)")
.With("xLength, collect(m.MovieSK) as mov, count(m) as movieCount, SUM((f1.Rating - m.avgRate) * (f2.Rating - m.avgRate)) AS xyDotProduct, " +
"SQRT(REDUCE(yDot = 0.0, b IN COLLECT(f2.Rating - m.avgRate) | yDot + b ^ 2)) AS yLength, p1, p2")
.WithParam("userSK", userSK)
.With("p1, p2, xyDotProduct / (xLength* yLength) as similarity, mov")
.OrderByDescending("similarity")
.Limit(3)
.OptionalMatch("(p2)<-[a: ratedUser]-(f3:FactTable)-[b: ratedMovie]->(m1:MovieDim)")
.Where("NOT m1.MovieSK IN mov and m1.MovieSK <> {movieSK}")
.WithParam("movieSK", mSK)
.With("f3, mov, m1, p2, round(100*avg(f3.Rating))/100 as avgRating")
.Return((m1, avgRating) => new
{
movie = Return.As <MovieDim>("m1"),
averageRating = Return.As <double>("avgRating")
})
.OrderByDescending("f3.Rating")
//.Limit(50)
.Results.ToList();
//find TP, FP, FN and TN
double TP = 0, FP = 0, FN = 0, TN = 0;
double Threshold = GetThreshold(userSK);
List <FactTable> ReservedMovieDim = GetReserved(userSK);
for (int k = 0; k < Movies.Count; k++)
{
int movieSK = Movies[k].movie.MovieSK;
double movRat = Movies[k].averageRating;
if (ReservedMovies.Contains(movieSK))
{
FactTable movieItem = new FactTable();
foreach (FactTable resMov in ReservedMovieDim)
{
if (resMov.MovieSK == movieSK)
{
movieItem = resMov;
}
}
if (movRat >= Threshold)
{
if (movieItem.Rating >= Threshold)
{
TP += 1;
}
else
{
FP += 1;
}
}
else //when similiar user avg rating is less then threshold
{
if (movieItem.Rating >= Threshold)
{
FN += 1;
}
else
{
TN += 1;
}
}
}
else
{
TN += 1;
}
}
double recall = TP / (TP + FP);
double precision = TP / (TP + FN);
Console.WriteLine("TP: " + TP + ", FP: " + FP + ", FN: " + FN + ", TN: " + TN);
EvalData.Add(recall);
EvalData.Add(precision);
EvalData.Add(TP);
EvalData.Add(FP);
EvalData.Add(FN);
EvalData.Add(TN);
//List<int> common = ReservedMovies.Intersect(Movies).ToList();
//if (ReservedMovies.Count > 0)
//{
// double recall = (common.Count * 100) / (ReservedMovies.Count);
// double precision = (common.Count * 100) / (Movies.Count);
// EvalData.Add((common.Count * 100) / (ReservedMovies.Count)); // Recall
// EvalData.Add((common.Count * 100) / (Movies.Count)); //Precision
//}
return(EvalData);
}
public static List <double> ContentBasedEval(int userSK, int MovieSK)
{
List <double> EvalData = new List <double>();
List <MovieDim> Movies = GraphConfig.GraphClient.Cypher
.Match("(m: MovieDim{ MovieSK: {SK}})")
.Match("(m) -[:belongsToGenre]->(g: GenreDim) < -[:belongsToGenre] - (simMov: MovieDim)")
.Where("not(simMov)-[] - (: FactTable{ UserSK: {userSK}, flag: 0})")
.With("m, simMov, COUNT(*) AS gCount")
.OptionalMatch("(m)< -[:hasATag] - (a: TagDim) -[:hasATag]->(simMov)")
.With("m, simMov, gCount, COUNT(a) AS tCount")
.OptionalMatch("(m)< -[:ratedMovie] - (d: FactTable) -[:ratedMovie]->(simMov)")
.With("m, simMov, gCount, tCount, COUNT(d) AS rCount")
.With("simMov AS movies, (5* gCount)+(2* tCount)+(3* rCount) AS Weight")
.WithParam("SK", MovieSK)
.WithParam("userSK", userSK)
.Return <MovieDim>("movies")
.OrderByDescending("Weight")
//.Limit(50)
.Results.ToList();
//find TP, FP, FN and TN
double TP = 0, FP = 0, FN = 0, TN = 0;
double Threshold = GetThreshold(userSK);
List <FactTable> ReservedMovieDim = GetReserved(userSK);
foreach (MovieDim movie in Movies)
{
int movieSK = movie.MovieSK;
double movRat = movie.avgRate;
if (ReservedMovies.Contains(movieSK))
{
FactTable movieItem = new FactTable();
foreach (FactTable resMov in ReservedMovieDim)
{
if (resMov.MovieSK == movieSK)
{
movieItem = resMov;
}
}
if (movRat >= Threshold)
{
if (movieItem.Rating >= Threshold)
{
TP += 1;
}
else
{
FP += 1;
}
}
else //when similiar user avg rating is less then threshold
{
if (movieItem.Rating >= Threshold)
{
FN += 1;
}
else
{
TN += 1;
}
}
}
else
{
TN += 1;
}
}
double recall = TP / (TP + FP);
double precision = TP / (TP + FN);
//Console.WriteLine("TP: " + TP + ", FP: " + FP + ", FN: " + FN + ", TN: " + TN);
EvalData.Add(recall);
EvalData.Add(precision);
EvalData.Add(TP);
EvalData.Add(FP);
EvalData.Add(FN);
EvalData.Add(TN);
return(EvalData);
}