Content Presentation System Using Entity Scoring and Category Segmentation
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Solution Overview
Problem
Users face difficulties in identifying, organizing, and presenting media content related to a specific topic, such as a television show, due to the lack of effective methods for categorizing and recommending related content.
Innovation Solution
A method and system that receive user interaction data to identify related entities and properties, calculate interest scores for these properties, and present relevant content items organized by category, using a user interface that groups content based on calculated relevance and popularity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content is organized by category based on user interaction information, then content relevance to user interest is improved, but system complexity increases
Solution Approach 1:
The system segments content organization into distinct categories (e.g., episodes, interviews, related shows) based on entity types. Each category is handled separately with its own scoring and filtering logic, making the complex task of organizing diverse content manageable through modular processing of individual content types
Solution Approach 2:
The patent introduces intermediate entities (such as entity groups and property groups) that mediate between raw user interaction data and final content presentation. These intermediaries structure and organize the data flow, simplifying the overall system architecture while enabling precise content relevance measurement
2Adaptability or versatility
If multiple properties and entities are identified and scored, then content personalization is improved, but processing time increases
Solution Approach 1:
The system calculates scores for multiple properties and entities but selectively presents only the top-ranked or most relevant results to users. By computing comprehensive scores for all candidates and then filtering to display only the most relevant subset, the system achieves high personalization while managing processing time through selective output
Solution Approach 2:
The system pre-identifies and scores multiple properties and entities in advance before final content presentation. By performing the computationally intensive scoring of all candidate properties and entities beforehand, the system prepares personalized content recommendations that can be quickly delivered when users request content, reducing perceived processing time
Data Source
AI summary
Methods, systems, and media for presenting content organized by category are provided. In some embodiments, the method comprises: receiving a request to present a page indicating content related to a first entity; identifying a first group of entities related to the first entity based at least in part on user interaction information; identifying a group of properties corresponding to the first entity; identifying, for each property, a second group of entities corresponding to the property; calculating, for each property, a score for the property; determining a subset of the properties in the group of properties based on the score of each property; identifying, for each property in the subset of properties, a group of content items corresponding to the property; determining a subset of content items from the group of content items; and causing a user interface indicating the subset of content items to be presented.