使用协同过滤和矩阵分解的推荐引擎_C#_下载.zip

# C# Recommendation Engine This project and [corresponding article](https://www.codeproject.com/Articles/1232150/Building-an-Article-Recommendation-Engine) won first place in Code Project's 2018 Machine Learning and Artificial Intelligence Competition. It demonstrates user-based and item-based collaborative filtering with matrix factorization using the user behavior data provided by Code Project for the challenge. ### Usage ```C# IRater rate = new LinearRater(-4, 2, 3, 1); IComparer compare = new CorrelationUserComparer(); IRecommender recommender = new UserCollaborativeFilterRecommender(compare, rate, 50); UserBehaviorDatabaseParser parser = new UserBehaviorDatabaseParser(); UserBehaviorDatabase db = parser.LoadUserBehaviorDatabase("UserBehavior.txt"); ISplitter split = new DaySplitter(db, 5); recommender.Train(split.TrainingDB); ScoreResults scores = recommender.Score(split.TestingDB, rate); TestResults results = recommender.Test(split.TestingDB, 30); List<Suggestion> suggestions = recommender.GetSuggestions(someUserId, numberOfRecommendations); ```