18597389. METHODS AND SYSTEMS FOR RECOMMENDING MEDIA CONTENT RELATED TO A RECENTLY COMPLETED ACTIVITY simplified abstract (Rovi Guides, Inc.)
Contents
METHODS AND SYSTEMS FOR RECOMMENDING MEDIA CONTENT RELATED TO A RECENTLY COMPLETED ACTIVITY
Organization Name
Inventor(s)
Benjamin H. Maughan of Pleasanton CA (US)
METHODS AND SYSTEMS FOR RECOMMENDING MEDIA CONTENT RELATED TO A RECENTLY COMPLETED ACTIVITY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18597389 titled 'METHODS AND SYSTEMS FOR RECOMMENDING MEDIA CONTENT RELATED TO A RECENTLY COMPLETED ACTIVITY
The patent application describes a media guidance application that recommends media content based on a user's recent activities.
- The application can suggest movies or other media based on tasks completed by the user.
- Recommendations are tailored to the user's specific actions and preferences.
- The system utilizes data on user behavior to provide personalized content suggestions.
- Users can discover new media based on their daily routines and activities.
- The technology aims to enhance user experience by offering relevant and timely media recommendations.
Potential Applications: This technology can be applied to streaming platforms, social media networks, and entertainment apps to improve user engagement and satisfaction.
Problems Solved: This technology addresses the challenge of content discovery by offering personalized recommendations based on user behavior.
Benefits: Users can easily find new and relevant media content without having to search extensively. Enhanced user experience through tailored recommendations. Increased user engagement and retention for media platforms.
Commercial Applications: This technology can be utilized by streaming services, social media platforms, and entertainment apps to boost user engagement, retention, and overall satisfaction.
Questions about Media Guidance Application: 1. How does the media guidance application determine which content to recommend to users? The application uses data on the user's recent activities to suggest relevant media content.
2. Can users provide feedback on the recommended content to improve future suggestions? Users may have the option to rate or provide feedback on recommended content to enhance the accuracy of future recommendations.
Original Abstract Submitted
Methods and systems are disclosed herein for a media guidance application that recommends media content based on activities recently performed by a user. For example, in response to determining that a user recently finished the laundry, the media guidance application may recommend a movie that other users accessed after finishing the laundry.
