public async Task <bool> UpdateSimilarityScores(Guid userId)
{
var oldScores = await _context.SimilarityScores.Where(x => x.FromUserId == userId).ToListAsync();
var features = (await _featureApplication.GetFeatures()).Where(x => x.IsCalculated).ToList();
var columns = features.Count;
var users = await GetUsersToCalculate(userId);
int rows = users.Count;
double[,] usersMatrix = new double[rows, columns];
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < columns; j++)
{
var vm = users[i].FeatureViewModels
.Where(x => x.FeatureId == features[j].Id)
.FirstOrDefault();
if (vm == null)
{
usersMatrix[i, j] = -1;
}
else
{
if (!vm.IsCalculated)
{
usersMatrix[i, j] = 0;
continue;
}
usersMatrix[i, j] = vm.Rate * vm.weight;
}
}
}
SimilarityMatrix m = new SimilarityMatrix
{
Row = rows,
Column = columns,
Matrix = usersMatrix
};
List <double> kq = new List <double>();
kq = m.SimilarityCalculate();
users.RemoveAt(0);
var similarityScores = new List <SimilarityScore>();
for (int i = 1; i < kq.Count; i++)
{
users[i - 1].Point = kq[i];
var score = new SimilarityScore()
{
FromUserId = userId,
ToUserId = users[i - 1].UserId,
Score = kq[i]
};
similarityScores.Add(score);
}
try
{
_context.SimilarityScores.AddRange(similarityScores);
_context.SimilarityScores.RemoveRange(oldScores);
await _context.SaveChangesAsync();
return(true);
}
catch
{
return(false);
}
}
public async Task <bool> UpdateSimilarityScores(Guid userId)
{
var user = await GetById(userId);
var oldScores = await _context.SimilarityScores.Where(x => x.FromUserId == userId).ToListAsync();
var tempUsers = new List <AppUser>();
var users = await GetActiveUsers(userId, true);
users.Remove(users.Where(x => x.Id == userId).FirstOrDefault());
//var users = await _context.Users.Where(x => x.Status == EUserStatus.Active && x.IsInfoUpdated && x.Id != userId).ToListAsync();
//
tempUsers = users
.Where(x => x.Id != userId && x.Gender == user.FindPeople)
.ToList();
users = new List <AppUser>();
var userAgeGroup = GetAgeGroup(user.Dob);
int userAgeValue = Convert.ToInt32(userAgeGroup);
foreach (var item in tempUsers)
{
var ageGroup = GetAgeGroup(item.Dob);
int ageValue = Convert.ToInt32(ageGroup);
if (Math.Abs(userAgeValue - ageValue) <= 1)
{
users.Add(item);
}
}
//
users.Insert(0, user);
int sl = users.Count;
double[,] usersMatrix = new double[sl, 19];
for (int i = 0; i < sl; i++)
{
usersMatrix[i, 0] = (double)users[i].Marriage;
usersMatrix[i, 1] = (double)users[i].Target;
usersMatrix[i, 2] = (double)users[i].Education;
usersMatrix[i, 3] = (double)users[i].Body;
usersMatrix[i, 4] = (double)users[i].Religion;
usersMatrix[i, 5] = (double)users[i].Smoking;
usersMatrix[i, 6] = (double)users[i].DrinkBeer;
usersMatrix[i, 7] = (double)users[i].Cook;
usersMatrix[i, 8] = (double)users[i].Game;
usersMatrix[i, 9] = (double)users[i].Travel;
usersMatrix[i, 10] = (double)users[i].LikePet;
usersMatrix[i, 11] = (double)users[i].LikeTechnology;
usersMatrix[i, 12] = (double)users[i].Shopping;
usersMatrix[i, 13] = (double)users[i].PlaySport;
usersMatrix[i, 14] = (double)users[i].FavoriteMovie;
usersMatrix[i, 15] = (double)users[i].AtmosphereLike;
usersMatrix[i, 16] = (double)users[i].Character;
usersMatrix[i, 17] = (double)users[i].LifeStyle;
usersMatrix[i, 18] = (double)users[i].MostValuable;
}
SimilarityMatrix m = new SimilarityMatrix();
m.Row = sl;
m.Column = 19;
m.Matrix = usersMatrix;
List <double> kq = new List <double>();
kq = m.SimilarityCalculate();
users.RemoveAt(0);
var similarityScores = new List <SimilarityScore>();
for (int i = 1; i < kq.Count; i++)
{
users[i - 1].Point = kq[i];
var score = new SimilarityScore()
{
FromUserId = userId,
ToUserId = users[i - 1].Id,
Score = kq[i]
};
similarityScores.Add(score);
}
try
{
_context.SimilarityScores.AddRange(similarityScores);
_context.SimilarityScores.RemoveRange(oldScores);
await _context.SaveChangesAsync();
return(true);
}
catch
{
return(false);
}
}
