Persona-Based Image Search Filtering for User Relevance
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Solution Overview
Problem
Conventional content sharing services face challenges in accurately filtering images based on user characteristics, leading to inefficient and error-prone search results due to the inability to distinguish between varying user expectations for the same keywords.
Innovation Solution
Implementing persona-based image search techniques that associate user demographics and consumption characteristics with search requests, using machine learning to filter and generate relevant image search results, thereby addressing the diverse expectations of users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search techniques are used to search for images, then the search process is simple and fast, but the search results do not account for different user expectations and characteristics leading to lower relevance
Solution Approach 1:
The patent segments users into different personas based on their characteristics, demographics, and usage patterns. Each persona represents a distinct user archetype with specific preferences and expectations. This segmentation allows the search system to tailor results to different user types, improving relevance without requiring complete redesign of the search infrastructure.
Solution Approach 2:
The patent introduces persona profiles as an intermediary layer between the user and the image database. These personas act as mediators that translate user characteristics into customized search criteria and filtering parameters, enabling the system to account for different user expectations without directly complexifying the core search mechanism.
2Measurement precision
If persona-based filtering is applied to image search results, then the accuracy and relevance of results improve, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-defining persona profiles with characteristic attributes, preferences, and filtering criteria before actual image searches are conducted. User profiles are pre-analyzed and categorized into personas in advance, so that during the actual search process, the system can quickly apply pre-configured filtering rules rather than performing complex real-time analysis.
Solution Approach 2:
The patent changes search parameters dynamically based on the identified persona. Instead of using fixed search criteria, the system adjusts filtering parameters, weightings, and selection criteria according to the characteristics of the matched persona, enabling accurate results while maintaining efficient processing through parameter-based control rather than complex computational operations.
3Reliability
If conventional search techniques are used, then the system is easy to operate, but it cannot distinguish between varying user expectations for the same keywords leading to errors
Solution Approach 1:
The patent implements self-service by automatically identifying and matching users to appropriate personas based on their profile data, search history, and behavior patterns. The system autonomously selects which persona characteristics to apply without requiring users to manually configure complex settings or understand persona concepts, thereby maintaining ease of operation while improving content selection accuracy.
Solution Approach 2:
The patent changes search parameters automatically based on the matched persona without requiring user intervention. The system dynamically adjusts filtering criteria, result weighting, and selection algorithms according to the identified persona's characteristics, enabling reliable content selection while keeping the user interface simple and unchanged from conventional search interfaces.
Data Source
AI summary
Image search persona techniques and systems are described. In one or more implementations, a digital medium environment is described for controlling image searches by one or more computing devices. An image search request and an indication of one or more personas of one or more respective users associated with the image search request is received by the one or more computing devices. The one or more personas specify characteristics of the one or more respective users themselves. A plurality of images are obtained by the one or more computing devices based on the image search request. The plurality of images are filtered by the one or more computing devices based on the one or more personas and a search result is generated by the one or more computing devices from the filtered plurality of images.