18130899. CONTENT RECOMMENDATION SYSTEM AND METHOD simplified abstract (ThinkAnalytics Ltd.)
Contents
CONTENT RECOMMENDATION SYSTEM AND METHOD
Organization Name
Inventor(s)
Peter Docherty of Glasgow (GB)
Christopher Mcguire of Glasgow (GB)
Richard Dowling of Glasgow (GB)
Craig Palmer of Redondo Beach CA (US)
CONTENT RECOMMENDATION SYSTEM AND METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18130899 titled 'CONTENT RECOMMENDATION SYSTEM AND METHOD
The abstract describes a computer-implemented method for providing content item recommendations to a user based on their search behavior and content available in a library.
- The method determines if a user's search using a content title finds the content in available sources.
- If the content is not found, the method checks a content library for the title.
- Metadata in the content library is used to generate content recommendations related to the identified content.
- The recommendations are then provided to the user.
Potential Applications: - Personalized content recommendations in streaming services - Enhanced user experience in content distribution platforms
Problems Solved: - Improving content discovery for users - Increasing user engagement with recommended content
Benefits: - Increased user satisfaction - Higher likelihood of content consumption - Enhanced platform retention rates
Commercial Applications: - Content streaming platforms - Online libraries and digital content providers - E-commerce platforms with content recommendations
Questions about the technology: 1. How does the method determine the relevance of recommended content to the user? 2. What measures are in place to protect user privacy and data security in this recommendation system?
Original Abstract Submitted
A computer-implemented method of providing one or more content item recommendations for a user of a content distribution system, comprising: determining if a user search using a title of content finds the title of content in one or more content sources available to the user; identifying, in response to the title of content not being found in the one or more content sources, content in a content library by determining if the title of content is in the content library, wherein the content library contains metadata concerning items of content in the content library, the metadata representing at least some properties of the items of content; using, in response to the title of content being determined to be in the content library, the metadata of the identified content in the content library and metadata concerning content available from the one or more content sources available to the user to generate at least one content item recommendation for the user, wherein the at least one content item recommendation is for recommended content that is related to the identified content, and providing the at least one content item recommendation to the user.
