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SmartFlix: Context – Aware Movie Recommendation System
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The movie recommendation site, Smartflix, can help the individual
find the movies that he or she will really enjoy. It does this by taking
into consideration the kinds of movies the individual has watched
before, the kinds of movies the individual likes, and the time the
individual wants to watch the movie. It is constantly learning about
the individual to be able to recommend to him/her the kinds of
movies he/she will enjoy. At the heart of the movie recommendation
site is a system that utilizes a lot of information to recommend
movies to the individual. It does not only take into consideration the
kinds of movies the individual likes. It also takes into consideration
the individual’s feelings, what is popular right now, and the kinds of
movies people like to watch in different parts of the world. It is
because of this that if the individual wants to watch a movie at night
or wants to watch something funny during the weekend, the site can
recommend the right movie. The movie recommendation website
Smartflix can assist the person in keeping track of the movies he or
she wants to watch. The website can assist the person in getting
information regarding movies that have been released and that he or
she might enjoy watching. The website has numerous categories of
movies, and therefore the person can easily find a movie he or she
likes watching. The website is user-friendly, and therefore anyone
can easily find a movie he or she can watch. The movie
recommendation website Smartflix can be considered a friend who
can assist the person in getting information regarding movies he or
she might love watching. The website can use the information it has about the person to recommend movies to
him or her. The website is always trying to improve itself; therefore, it can be considered a great friend to
anyone who loves watching movies.
Keywords: Context-Aware Recommendation Engine, Personalized Movie Discovery, Streaming Content
Intelligence, Smart Watchlist Management
Title: SmartFlix: Context – Aware Movie Recommendation System
Description:
The movie recommendation site, Smartflix, can help the individual
find the movies that he or she will really enjoy.
It does this by taking
into consideration the kinds of movies the individual has watched
before, the kinds of movies the individual likes, and the time the
individual wants to watch the movie.
It is constantly learning about
the individual to be able to recommend to him/her the kinds of
movies he/she will enjoy.
At the heart of the movie recommendation
site is a system that utilizes a lot of information to recommend
movies to the individual.
It does not only take into consideration the
kinds of movies the individual likes.
It also takes into consideration
the individual’s feelings, what is popular right now, and the kinds of
movies people like to watch in different parts of the world.
It is
because of this that if the individual wants to watch a movie at night
or wants to watch something funny during the weekend, the site can
recommend the right movie.
The movie recommendation website
Smartflix can assist the person in keeping track of the movies he or
she wants to watch.
The website can assist the person in getting
information regarding movies that have been released and that he or
she might enjoy watching.
The website has numerous categories of
movies, and therefore the person can easily find a movie he or she
likes watching.
The website is user-friendly, and therefore anyone
can easily find a movie he or she can watch.
The movie
recommendation website Smartflix can be considered a friend who
can assist the person in getting information regarding movies he or
she might love watching.
The website can use the information it has about the person to recommend movies to
him or her.
The website is always trying to improve itself; therefore, it can be considered a great friend to
anyone who loves watching movies.
Keywords: Context-Aware Recommendation Engine, Personalized Movie Discovery, Streaming Content
Intelligence, Smart Watchlist Management.
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