Esempio n. 1
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        public void TestMostSimilar()
        {
            ItemBasedRecommender    recommender = buildRecommender();
            IList <RecommendedItem> similar     = recommender.MostSimilarItems("0", 2);

            Assert.IsNotNull(similar);
            Assert.AreEqual(2, similar.Count);
            RecommendedItem first  = similar[0];
            RecommendedItem second = similar[1];

            Assert.AreEqual("1", first.Item.ID);
            Assert.AreEqual(1.0, first.Value, EPSILON);
            Assert.AreEqual("2", second.Item.ID);
            Assert.AreEqual(0.5, second.Value, EPSILON);
        }
Esempio n. 2
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        public void testRecommendedBecause()
        {
            ItemBasedRecommender    recommender        = buildRecommender2();
            IList <RecommendedItem> recommendedBecause = recommender.RecommendedBecause("test1", "4", 3);

            Assert.IsNotNull(recommendedBecause);
            Assert.AreEqual(3, recommendedBecause.Count);
            RecommendedItem first  = recommendedBecause[0];
            RecommendedItem second = recommendedBecause[1];
            RecommendedItem third  = recommendedBecause[2];

            Assert.AreEqual("2", first.Item.ID);
            Assert.AreEqual(0.99, first.Value, EPSILON);
            Assert.AreEqual("3", second.Item.ID);
            Assert.AreEqual(0.4, second.Value, EPSILON);
            Assert.AreEqual("0", third.Item.ID);
            Assert.AreEqual(0.2, third.Value, EPSILON);
        }
Esempio n. 3
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        public List <MovieViewModel> GetSuggestions(string userId, int numSuggestions, UserMovieRatingsTable table)
        {
            int userIndex = table.UserIndexToId.IndexOf(userId);
            UserMoviesRatings        user        = table.Users[userIndex];
            List <Suggestion>        suggestions = new List <Suggestion>();
            List <UserMoviesRatings> neighbors   = GetNearestNeighbors(userId, user, 5, table);

            if (neighbors.ToList()[0].Score <= 0.5)
            {
                ItemBasedRecommender itemBasedRecommender = new ItemBasedRecommender(_mapper, _movieRepository);
                return(itemBasedRecommender.GetSuggestions(userId, 10, table));
            }
            for (int movieIndex = 0; movieIndex < table.MovieIndexToId.Count; movieIndex++)
            {
                if (user.MovieRatings[movieIndex] != 0)
                {
                    double score = 0.0;
                    int    count = 0;
                    for (var u = 0; u < neighbors.Count; u++)
                    {
                        if (neighbors[u].MovieRatings[movieIndex] != 0)
                        {
                            score += neighbors[u].MovieRatings[movieIndex] - ((u + 1.0) / 100.0);
                            count++;
                        }
                    }
                    if (count > 0)
                    {
                        score /= count;
                    }
                    suggestions.Add(new Suggestion(userId, table.MovieIndexToId[movieIndex], score));
                }
            }
            suggestions.Sort((c, n) => n.Rating.CompareTo(c.Rating));
            List <Suggestion>     suggestionsList = suggestions.Take(numSuggestions).ToList();
            List <MovieViewModel> movieViewModels = new List <MovieViewModel>();

            foreach (var suggestion in suggestionsList)
            {
                Movie movie = _movieRepository.GetById(suggestion.MovieId);
                movieViewModels.Add(_mapper.Map <MovieViewModel>(movie));
            }
            return(movieViewModels);
        }
Esempio n. 4
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        public void TestMostSimilarToMultiple()
        {
            ItemBasedRecommender recommender = buildRecommender2();
            List <Object>        itemIDs     = new List <Object>(2);

            itemIDs.Add("0");
            itemIDs.Add("1");
            IList <RecommendedItem> similar = recommender.MostSimilarItems(itemIDs, 2);

            Assert.IsNotNull(similar);
            Assert.AreEqual(2, similar.Count);
            RecommendedItem first  = similar[0];
            RecommendedItem second = similar[1];

            Assert.AreEqual("2", first.Item.ID);
            Assert.AreEqual(0.85, first.Value, EPSILON);
            Assert.AreEqual("3", second.Item.ID);
            Assert.AreEqual(-0.3, second.Value, EPSILON);
        }
Esempio n. 5
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 protected BatchItemSimilarities(ItemBasedRecommender recommender, int similarItemsPerItem)
 {
     this.recommender         = recommender;
     this.similarItemsPerItem = similarItemsPerItem;
 }
   /// @param recommender recommender to use
   /// @param similarItemsPerItem number of similar items to compute per item
   /// @param batchSize size of item batches sent to worker threads
  public MultithreadedBatchItemSimilarities(ItemBasedRecommender recommender, int similarItemsPerItem, int batchSize) :
	  base(recommender, similarItemsPerItem) {
    this.batchSize = batchSize;
  }
   /// @param recommender recommender to use
   /// @param similarItemsPerItem number of similar items to compute per item
  public MultithreadedBatchItemSimilarities(ItemBasedRecommender recommender, int similarItemsPerItem) :
	  this(recommender, similarItemsPerItem, DEFAULT_BATCH_SIZE) {
  }