本文整理匯總了Python中recommender.Recommender.recommend_for方法的典型用法代碼示例。如果您正苦於以下問題：Python Recommender.recommend_for方法的具體用法？Python Recommender.recommend_for怎麽用？Python Recommender.recommend_for使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類recommender.Recommender的用法示例。
在下文中一共展示了Recommender.recommend_for方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: Test
# 需要導入模塊: from recommender import Recommender [as 別名]
# 或者: from recommender.Recommender import recommend_for [as 別名]
class Test(unittest.TestCase):
""" Test class for Recommender """
def setUp(self):
""" initial set up of Test cases """
unittest.TestCase.setUp(self)
self.recommender = Recommender()
test_movies = [{"movie_id" : 1, "title": "Movie1", "release_date" : "01-Jan-2011", "imdb_url":"https://someurl.com", "genres":"Drama Thriller", "ratings":0},
{"movie_id" : 20, "title": "Movie2", "release_date" : "01-Jan-2010", "imdb_url":"https://someurl.com", "genres":"Mystery", "ratings":0},
{"movie_id" : 35, "title": "Movie3", "release_date" : "01-Jan-2010", "imdb_url":"https://someurl.com", "genres":"Drama", "ratings":0},
{"movie_id" : 3, "title": "Movie4", "release_date" : "01-Jan-2012", "imdb_url":"https://someurl.com", "genres":"Thriller Crime", "ratings":0},
{"movie_id" : 4, "title": "Movie5", "release_date" : "01-Jan-2012", "imdb_url":"https://someurl.com", "genres":"Crime", "ratings":0},
{"movie_id" : 10, "title": "Movie6", "release_date" : "01-Jan-2012", "imdb_url":"https://someurl.com", "genres":"Western", "ratings":0},
{"movie_id" : 11, "title": "Movie7", "release_date" : "01-Jan-2012", "imdb_url":"https://someurl.com", "genres":"War Crime", "ratings":0}]
movies_objects = []
for movies in test_movies:
movies_objects.append(Movie(movies["movie_id"], movies["title"], movies["release_date"], movies["imdb_url"], movies["genres"], 0))
test_ratings = [{'movie_id': 1, 'user_id': 1, 'rating': 10, 'timestamp' : datetime.datetime.fromtimestamp(891350008)},
{'movie_id': 20, 'user_id': 2, 'rating': 9, 'timestamp' : datetime.datetime.fromtimestamp(891350010)},
{'movie_id': 35, 'user_id': 3, 'rating': 7, 'timestamp' : datetime.datetime.fromtimestamp(891350012)},
{'movie_id': 3, 'user_id': 4, 'rating': 4, 'timestamp' : datetime.datetime.fromtimestamp(891350014)},
{'movie_id': 4, 'user_id': 5, 'rating': 5, 'timestamp' : datetime.datetime.fromtimestamp(891350016)},
{'movie_id': 10, 'user_id': 6, 'rating': 5, 'timestamp' : datetime.datetime.fromtimestamp(891350018)},
{'movie_id': 11, 'user_id': 7, 'rating': 6, 'timestamp' : datetime.datetime.fromtimestamp(891350020)},
{'movie_id': 1, 'user_id': 7, 'rating': 10, 'timestamp' : datetime.datetime.fromtimestamp(891350008)},
{'movie_id': 20, 'user_id': 6, 'rating': 9, 'timestamp' : datetime.datetime.fromtimestamp(891350010)},
{'movie_id': 35, 'user_id': 5, 'rating': 7, 'timestamp' : datetime.datetime.fromtimestamp(891350012)},
{'movie_id': 3, 'user_id': 4, 'rating': 4, 'timestamp' : datetime.datetime.fromtimestamp(891350014)},
{'movie_id': 4, 'user_id': 3, 'rating': 5, 'timestamp' : datetime.datetime.fromtimestamp(891350016)},
{'movie_id': 10, 'user_id': 2, 'rating': 5, 'timestamp' : datetime.datetime.fromtimestamp(891350018)},
{'movie_id': 11, 'user_id': 1, 'rating': 6, 'timestamp' : datetime.datetime.fromtimestamp(891350020)}]
all_genres = {"unknown":0, "Action":1, "Adventure":2, "Animation":3, "Children's":4, "Comedy":5, "Crime":6, "Documentary":7, "Drama":8, "Fantasy":9, "Film-Noir":10,
"Horror":11, "Musical":12, "Mystery":13, "Romance":14, "Sci-Fi":15, "Thriller":16, "War":17, "Western":18}
users_ = ["1 24 M technician 85711","2 53 F other 94043","3 23 M writer 32067","4 24 M technician 43537","5 33 F other 15213",
"6 42 M executive 98101","7 57 M administrator 91344","8 36 M administrator 05201","9 29 M student 01002","10 53 M lawyer 90703"]
all_users = []
for each_user in users_:
each_user.split(" ")
all_users.append(User(each_user[0], each_user[1], each_user[2], each_user[3], each_user[4]))
self.recommender.all_ratings = test_ratings
self.recommender.all_movies = movies_objects
self.recommender.all_users = all_users
self.recommender.all_genre = all_genres
def test_recommend_for(self):
""" test case for recommend_for """
movie = self.recommender.recommend_for("h")
self.assertIsNone(movie)
movie = self.recommender.recommend_for(100)
self.assertIsNone(movie)
movie = self.recommender.recommend_for(1)
self.assertEqual(movie[0].get_title(), "Movie2")示例2: main
# 需要導入模塊: from recommender import Recommender [as 別名]
# 或者: from recommender.Recommender import recommend_for [as 別名]
def main():
""" Test cases """
# --------------------------------------------------------------------
# For warm up problems
#---------------------------------------------------------------------
reader = DBReader()
all_genres = reader.read_genre()
all_movies = reader.read_movies()
all_ratings = reader.read_ratings()
all_users = reader.read_users()
movies = get_top_movie_by_genre(all_genres,all_movies,all_ratings)
for each_genre in movies:
print "=" * 40
print "Top 5 movies of ", each_genre
print "=" * 40
for each_movie in movies[each_genre]:
print each_movie.get_title() , each_movie.ratings
print "=" * 40
movies = get_top_movie_by_year(all_genres,all_movies,all_ratings)
for each_year in movies:
print "=" * 40
print "Top movies of ", each_year
print "=" * 40
for each_movie in movies[each_year]:
print each_movie.get_title() , each_movie.ratings
print "=" * 40
movies = get_top_movie_by_year_and_genre(all_genres,all_movies,all_ratings)
for each_year in movies:
print "=" * 40
print "Year ", each_year
print "=" * 40
for genres in movies[each_year]:
for each_genre in genres:
if len(genres[each_genre]) > 1:
for m in genres[each_genre]:
print m.get_title()
# highest watched movies is based on no of users who rated that movie
movie = most_watched_movie(all_movies, all_ratings)
print "most watched movie", movie.title
print "=" * 40
genre = most_watched_genre(all_movies, all_ratings, all_genres)
print "Most watched genre : ", genre
genre = highest_rated_genre(all_movies, all_ratings, all_genres)
print "Highest rated genre: ", genre
user = most_active_user(all_users, all_ratings)
print "Most active user is user with user id : ", user
print "-" * 40
# --------------------------------------------------------------------
# For Assignment
#---------------------------------------------------------------------
recommender = Recommender()
movies_recommended = recommender.recommend_for(16660)
if movies_recommended is not None:
print "-" * 35
print "Recommended top 5 movies for you!"
print "-" * 35
for movie in movies_recommended:
print movie.get_title()
print "-" * 35
movies_recommended = recommender.recommend_for(166)
if movies_recommended is not None:
print "-" * 35
print "Recommended top 5 movies for you!"
print "-" * 35
for movie in movies_recommended:
print movie.get_title()
print "-" * 35