18059323. USER-CENTRIC RANKING ALGORITHM FOR RECOMMENDING CONTENT ITEMS simplified abstract (Meta Platforms Technologies, LLC)

From WikiPatents
Jump to navigation Jump to search

USER-CENTRIC RANKING ALGORITHM FOR RECOMMENDING CONTENT ITEMS

Organization Name

Meta Platforms Technologies, LLC

Inventor(s)

Shuanghong Yang of Cupertino CA (US)

USER-CENTRIC RANKING ALGORITHM FOR RECOMMENDING CONTENT ITEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18059323 titled 'USER-CENTRIC RANKING ALGORITHM FOR RECOMMENDING CONTENT ITEMS

Simplified Explanation

The abstract describes a method for requesting recommendations for content items in a recommender system. The method involves extracting a user attribute, identifying content items that match the user's preference, determining interest values for the user on each content item, and providing the user with a ranked list of content items based on their interest value.

  • User attribute extraction: The method starts by extracting a user attribute from the recommender system.
  • Content item identification: Multiple content items that match the user's preference are identified based on the user attribute.
  • Interest value determination: An interest value for the user is determined for each content item based on the affinity between the user attribute and the content item attribute.
  • Ranked list provision: The user is provided with a list of content items ranked according to the interest value for the user.

Potential Applications

This technology could be applied in e-commerce platforms, streaming services, social media platforms, and online advertising to provide personalized recommendations to users based on their preferences.

Problems Solved

This technology solves the problem of information overload by helping users discover relevant content tailored to their interests, leading to a more engaging and satisfying user experience.

Benefits

The technology enhances user engagement, increases user satisfaction, and improves user retention by offering personalized recommendations that align with individual preferences.

Potential Commercial Applications

Potential commercial applications of this technology include e-commerce platforms, streaming services, social media platforms, and online advertising companies looking to enhance user experience and increase user engagement through personalized recommendations.

Possible Prior Art

One possible prior art for this technology could be collaborative filtering algorithms used in recommender systems to provide personalized recommendations based on user behavior and preferences.

What is the impact of this technology on user engagement?

This technology has a significant impact on user engagement by providing personalized recommendations that align with individual preferences, leading to increased user satisfaction and retention.

How does this technology improve the user experience?

This technology improves the user experience by helping users discover relevant content tailored to their interests, reducing information overload, and enhancing user engagement with the platform.


Original Abstract Submitted

A method for requesting a recommendation for content items in a recommender system is provided. The method includes extracting a user attribute from the recommender system, identifying multiple content items that match a user preference based on the user attribute, determining an interest value for the user on each content item based on an affinity between the user attribute and a content item attribute, and providing the user a list of content items ranked according to the interest value for the user. A system including a memory storing instructions and a processor configured to execute the instructions and cause the system to perform the above method is also provided.

Retrieved from "http://wikipatents.org/index.php?title=18059323._USER-CENTRIC_RANKING_ALGORITHM_FOR_RECOMMENDING_CONTENT_ITEMS_simplified_abstract_(Meta_Platforms_Technologies,_LLC)&oldid=42778"