View source for 18130880. CONTENT RECOMMENDATION SYSTEM AND METHOD simplified abstract (ThinkAnalytics Ltd.)

=CONTENT RECOMMENDATION SYSTEM AND METHOD=


==Organization Name==

[[:Category:ThinkAnalytics Ltd.|ThinkAnalytics Ltd.]]


[[Category:ThinkAnalytics Ltd.]]

==Inventor(s)==

[[:Category:Peter Docherty of Glasgow (GB)|Peter Docherty of Glasgow (GB)]][[Category:Peter Docherty of Glasgow (GB)]]

[[:Category:Christopher Mcguire of Glasgow (GB)|Christopher Mcguire of Glasgow (GB)]][[Category:Christopher Mcguire of Glasgow (GB)]]

[[:Category:Alan Ryman of Glasgow (GB)|Alan Ryman of Glasgow (GB)]][[Category:Alan Ryman of Glasgow (GB)]]

[[:Category:Shahad Ahmed of Glasgow (GB)|Shahad Ahmed of Glasgow (GB)]][[Category:Shahad Ahmed of Glasgow (GB)]]

==CONTENT RECOMMENDATION SYSTEM AND METHOD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18130880 titled 'CONTENT RECOMMENDATION SYSTEM AND METHOD

The abstract describes a computer-implemented method for providing content item recommendations to a user based on metadata and user-selected subjects.

* Obtaining metadata about content items
* Providing subjects for user selection
* Using selected subject and metadata to generate content recommendations
* Providing content recommendations to the user

Potential Applications:
- Personalized content recommendations in streaming services
- E-commerce product suggestions based on user preferences

Problems Solved:
- Improving user experience by offering relevant content recommendations
- Increasing user engagement and satisfaction

Benefits:
- Enhanced user satisfaction
- Increased user engagement
- Improved content discovery

Commercial Applications:
Title: Personalized Content Recommendations Technology
This technology can be used in streaming services, e-commerce platforms, and online content providers to enhance user experience and increase engagement. By offering personalized recommendations, businesses can improve customer satisfaction and drive sales.

Questions about Personalized Content Recommendations Technology:
1. How does this technology improve user experience?
- This technology enhances user experience by providing personalized content recommendations based on user preferences and metadata analysis.
2. What are the potential commercial applications of this technology?
- The technology can be applied in streaming services, e-commerce platforms, and online content providers to offer personalized recommendations and improve user engagement.


==Original Abstract Submitted==

A computer-implemented method of providing one or more content item recommendations for a user of a content distribution system, the method comprising: obtaining metadata concerning items of content, the metadata representing at least some properties of the items of content; providing at least one subject related to the metadata to be available to the user for selection; using a selected subject selected by the user and metadata concerning content available from one or more content sources to generate at least one content item recommendation for the user, and providing the at least one content item recommendation to the user.



[[Category:H04N21/466]]
[[Category:G06F16/783]]
[[Category:H04N21/45]]
[[Category:H04N21/482]]
[[Category:CPC_H04N21/4668]]