First and Last Name/s of Presenters

Trevor NealFollow
Brandon CassidyFollow
Remi RosaFollow

Mentor/s

Professor Desiree Brin-Rodriguez

Participation Type

Poster

Abstract

In an ever-expanding ecosystem of streaming services, how does one wade through thousands of TV shows and movies to get recommended the right content, especially when they are split between dozens of different streaming services? This is where EntertainMe! steps in to fill the gap. EntertainMe! allows a user to enter a movie or series and find alternate titles to watch based on what was entered across various streaming services. Users can create watchlists that contain all their previously watched content, where selecting a title will recommend titles based on that selected title. Furthermore, EntertainMe! allows users to perform user ratings that can potentially help others to determine what TV shows and movies they would recommend. EntertainMe! would be implementing a machine learning model, that will find titles that match what a user entered based on various metrics such as the genre, similar directors, same actors, length, release year, and other categories. Content owners utilizing EntertainMe! can pay a fee to have their content promoted to more users. Overall, EntertainMe! is a must-have application for anyone who wants to be recommended new movies and TV shows without wasting time searching through a vast library of content.

College and Major available

Computer Science & IT MS

Location

Digital Commons & West Campus 2nd Floor University Commons

Start Day/Time

4-28-2023 12:00 PM

End Day/Time

4-28-2023 2:00 PM

Students' Information

Trevor Neal: MS Computer Science & Information Technology, 2023

Brandon Cassidy: MS Computer Science & Information Technology, 2023

Remi Rosa: MS Computer Science & Information Technology, 2023

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

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Apr 28th, 12:00 PM Apr 28th, 2:00 PM

EntertainMe!

Digital Commons & West Campus 2nd Floor University Commons

In an ever-expanding ecosystem of streaming services, how does one wade through thousands of TV shows and movies to get recommended the right content, especially when they are split between dozens of different streaming services? This is where EntertainMe! steps in to fill the gap. EntertainMe! allows a user to enter a movie or series and find alternate titles to watch based on what was entered across various streaming services. Users can create watchlists that contain all their previously watched content, where selecting a title will recommend titles based on that selected title. Furthermore, EntertainMe! allows users to perform user ratings that can potentially help others to determine what TV shows and movies they would recommend. EntertainMe! would be implementing a machine learning model, that will find titles that match what a user entered based on various metrics such as the genre, similar directors, same actors, length, release year, and other categories. Content owners utilizing EntertainMe! can pay a fee to have their content promoted to more users. Overall, EntertainMe! is a must-have application for anyone who wants to be recommended new movies and TV shows without wasting time searching through a vast library of content.

 

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