Bettter movie experience with MovieMania

Let's Watch

Let's find the movie and bring your own popcorn :D

In this we are going to recommend you the movie according to your selected one.

Let's Search

Steps to Perform

1: Enter the name of the movie you want to watch.
2: Then Click On Let's Search Button

232

Happy Clients

5000

Movies

1,563

Watching Hours

2

Hard Workers

Major Highlights of the Project.

There are three types of Recommendation System.

  • Content Based
  • Collaborating Filtering
  • Hybrid Model

Advantages:

1: The model doesn’t need any data about other users, since the recommendations are specific to this user.

2: This makes it easier to scale to a large number of users.

3: The model can capture the specific interests of a user, and can recommend niche items that very few other users are interested in.


In this project we have used Cosine Similarity(It is a metric used to determine how similar the documents are irrespective of the size)

The Cosine similarity is advantageous because even if the two similar documents are far apart by the Euclidean distance because of the size, they could still have a smaller angle between them.

“Smaller the angle, higher the similarity”.

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Team

Nimisha Singh

Student

Sourav Arya

Student

Contact

If you need any help or have any query fill this and we will connect you ASAP.

Our Address

A-108 Main Street, New Delhi, India

Email Us

MovieMania@gmail.com

Call Us

+91 9836485689
+91 9468573623

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