Tagged Entity Subscription System for Content Discovery

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Solution Overview

Problem

Content-sharing platforms face challenges in recommending media items to users effectively as the volume of available content increases, with existing methods failing to satisfactorily utilize user preferences for content discovery.

Innovation Solution

A computer-implemented method and system that allows users to subscribe to tagged entities, with the system maintaining subscription data and identifying media items associated with these entities, providing users with relevant content and recommending additional items based on their consumption history and tag associations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If the volume of content on a content-sharing platform increases, then the quantity and diversity of media items available to users increases, but it becomes increasingly difficult for users to find content that interests them

Engineering Contradiction:

Improvevolume of contentVSAvoidease of finding content

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The system uses user interaction feedback (clicks, views, subscriptions) to continuously refine and personalize content recommendations. The feed service monitors user behavior and adjusts content delivery based on this feedback, enabling users to easily discover relevant content despite the platform's large volume of media items

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system changes the parameter of content organization from static categories to dynamic, user-specific feeds. By adjusting content delivery parameters based on user preferences and behavior patterns, the system makes content discovery easier as the platform grows

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If existing recommendation methods are used, then some content discovery is facilitated, but user preferences are not effectively utilized for personalized recommendations

Engineering Contradiction:

Improvecontent discoveryVSAvoidutilization of user preferences

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system segments the general user base into individual user profiles with unique preference characteristics. By dividing content delivery into user-specific feeds rather than a single unified stream, the system effectively utilizes individual user preferences for personalized recommendations

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The recommendation system transitions from static content organization to dynamic, adaptive feeds that evolve based on user behavior. The system continuously adjusts content recommendations in real-time based on user interactions, making the recommendation process adaptable to changing user preferences

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS11966433B1Subscribe to people in videos

Publication Date: 2024.04.23 GOOGLE LLC

AI summary

A computer-implemented method for enabling users to subscribe to people and other tagged entities is provided herein. Such a method includes maintaining subscription data specifying a plurality of entities subscribed to by a plurality of users, with each of the plurality of entities being a tagged entity associated with a tag. The method further includes identifying a media item associated with one or more tagged entities of the plurality of entities, determining, based on the subscription data, a user of the plurality of users that is subscribed to the tagged entities of the media item, and providing the media item to the user.