availability of social media and construct a new movie rating dataset 'MovieTweetings' based on public and well-structured tweets. With the addition of around 500 new ratings per day we believe this dataset can be very useful as an always up-to-date and natural rating dataset for movie ...
For the recommendation task, this method uses the MovieLens 25M dataset along with the extracted visual features. Finally, the recommendation system will recommend movies based on the genre and rating. This method outperforms current state-of art-approaches....
For instance, the analysis of the genre, director, actors, & plot of a movie recommendation system dataset would be leveraged for suggesting movies of the same genre, with similar actors or themes. The primary advantage of content-based filtering is that it can produce reliable recommendations, ...
# 查看原始数据某条电影的特征数据和某条用户的特征数据,并且下载数据集 # 电影特征 movie_info = paddle.dataset.movielens.movie_info() print (list(movie_info.values())[0]) # 用户特征 user_info = paddle.dataset.movielens.user_info() print (list(user_info.values())[0]) [===]elens/moviele...
电影评分的格式为:UserID::MovieID::Rating::TimestampUserID: [1-6040] MovieIDs:[1,3952] Ratings:1-5的整数 Timestamp:时间戳 每个用户至少有20个评分数据预处理与网络模型设计MovieLens数据集中,用户特征中UserID、Gender、Age、Job以及电影特征中MovieID都可以认为是类别型数据,通常使用One-Hot编码...
- movie_titles_metadata.txt - 包含每部电影标题信息 - fields: - movieID, - movie title, - movie year, - IMDB rating, - no. IMDB votes, - genres in the format ['genre1','genre2',?'genreN'] - movie_characters_metadata.txt - 包含每部电影角色信息 - fields: - characterID - characte...
Genre Directors Writers Rating 2. Data Understanding This analysis uses datasets obtained from two renowned movie websites: The Numbers - tn.movie_budgets.csv.gz IMDB - im.db.zip From the first dataset which is in .csv format, we have the names, release dates, and monetary informat...
The Rating can have 3 different Types. Scale from 1 to 10 Percentage from 0 to 100% Scale from 1 to 100 Movie_Genres.csv Genre of the Movies are being kept in this dataset. A movie can have one or multiple Genre. Movie_Movies.csv The fundamental Datafile for this Dataset. Here ...
23.Find from the 'movies' collection in MongoDB with the most common genre among the movies. Click me to see the solution 24.Find the movies released in the year with the highest average IMDb rating from the 'movies' collection in MongoDB. ...
<![if !supportLists]>l <![endif]>genre: main genre of the movie. <![if !supportLists]>l <![endif]>gross: revenue of the movie <![if !supportLists]>l <![endif]>name: name of the movie <![if !supportLists]>l <![endif]>rating: rating of the movie (R, PG, etc.) ...