Rule-Based Content Collections for Efficient Sharing and Viewing
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Solution Overview
Problem
Existing messaging systems lack efficient mechanisms for users to create and manage content collections based on predefined rules, such as time, location, and user attributes, leading to inefficiencies and increased computational resources.
Innovation Solution
A system that stores rules for different types of content collections, specifying time periods, geolocation, content type, and user permissions, to prompt and manage user interactions for contributing and viewing, thereby enhancing engagement and reducing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually create and manage content collections without predefined rules, then users have full control over content organization, but system computational resources increase and user time consumption increases
Solution Approach 1:
The system pre-defines content collection types with associated rules (time periods, geolocation, content type, user attributes) before users need to create collections. When users select a predefined type, the system automatically applies the corresponding rules, eliminating the need for manual rule creation and reducing both computational overhead and user time investment.
Solution Approach 2:
The system enables automatic content filtering and collection population based on predefined rules. Content items are automatically sorted into appropriate collections based on their metadata (time, location, type) matching the stored rules, reducing the need for continuous system processing and manual user intervention.
2Ease of operation
If the system implements comprehensive rule-based content collection management, then user engagement increases and resource usage decreases, but system complexity increases
Solution Approach 1:
The system segments content collection management into distinct predefined types (e.g., daily collections, location-based collections, time-based collections), each with specific rules. This modular approach allows users to engage with only the types they need while keeping the overall system manageable through clear categorization.
Solution Approach 2:
The system creates universal templates for content collections that can serve multiple purposes. A single predefined collection type with associated rules can handle various content organization needs, reducing the number of separate systems or complex custom configurations required.
Data Source
AI summary
Aspects of the present disclosure involve a system comprising a storage medium storing a program and method for rule-based sharing of content collections. The program and method provide for storing, in association with each content collection, a set of rules with first criteria for adding a content item to the content collection, and with second criteria for viewing the content collection; determining, for a first content collection, that the respective first criteria is met for a first user of a first device; providing, based on the determining, for the first user to generate the content item; adding the generated content item to the first content collection; determining, for the first content collection, that the respective second criteria is met for a second user of a second device; and providing, based on the determining, the first content collection to the second device for viewing by the second user.