Search Archetype System for Targeted Audience Segmentation
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Solution Overview
Problem
Current search technologies face challenges in effectively targeting specific audiences for improved search engine rankings and user experience, as they rely on inferred heuristics and segmentation methods that lack directness and efficiency, and fail to adapt content based on user-selectable attributes.
Innovation Solution
A system comprising a server and user computing station that allows users to select attributes and values to generate archetypes, which are then used to create meta-descriptors for objects, enabling targeted search results and content adaptation without revealing personal information, by attaching these meta-descriptors to objects and broadcasting them through search engines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If semantic search and collaborative filtering approaches are used to enhance search results, then user experience is improved, but the system complexity and computational resources increase
Solution Approach 1:
The patent segments the target audience into distinct archetypes based on selectable attributes (e.g., age, gender, profession, interests). Each archetype represents a segmented portion of the audience with specific characteristics. This segmentation allows the system to apply different search enhancement strategies to different archetype groups, reducing overall system complexity while maintaining improved user experience for each segment.
Solution Approach 2:
The patent performs preliminary action by pre-defining audience archetypes and their associated attributes before the search process. Web sites can pre-identify their target audience archetypes and optimize content for these predefined groups. This preliminary segmentation and optimization reduces the computational burden during actual search operations, as the system doesn't need to perform complex real-time analysis for each user.
2Measurement precision
If web sites use SEO methods to enhance ranking for segmented audiences, then search engine ranking is improved, but the directness and efficiency of targeting specific audiences decreases
Solution Approach 1:
The patent introduces an intermediary layer of audience archetypes between the web site content and the search engine ranking system. Instead of directly optimizing for individual users or inferred segments, web sites optimize their content to match predefined archetype characteristics. This intermediary archetype framework provides a direct and efficient method for targeting specific audiences, as web sites can clearly define and optimize for their intended archetype without complex inference processes.
Solution Approach 2:
The patent enables parameter changes by allowing web sites to select and optimize for specific archetype parameters (attributes such as age, gender, profession, interests). The search system then adjusts ranking based on matches between these selected parameters and user profiles. This parameter-based approach provides direct and efficient audience targeting, as web sites can precisely control which archetype characteristics they want to optimize for, rather than relying on indirect SEO methods.
3Adaptability or versatility
If user identifying information is collected to improve search targeting, then search personalization is improved, but user privacy concerns increase
Solution Approach 1:
The patent extracts only the necessary identifying information needed for search targeting while leaving out sensitive personal data. Instead of collecting comprehensive user profiles, the system extracts and utilizes only the archetype-relevant attributes (such as broad demographic categories and interests) that are sufficient for personalization. This extraction approach maintains search personalization benefits while minimizing privacy concerns by not collecting extraneous identifying information.
Solution Approach 2:
The patent uses temporary, session-based archetype assignments rather than permanent user profiles. Users can select archetypes for specific search sessions without creating lasting records of their personal information. The archetype data is essentially disposable - used for the duration of the search task and then discarded. This approach enables search personalization while minimizing privacy risks, as there is no persistent storage of sensitive user identifying information.
Data Source
AI summary
A server constituted a processor and a server memory, the processor arranged to: provide a selectable plurality of attributes, the plurality of attributes stored on the server memory; provide, for each selected one of the plurality of attributes, a selectable plurality of values, the plurality of values stored on the server memory; and generate an archetype responsive to the selected values of the selected attributes. Preferably, a system exhibiting the server and a user computing station in communication with the server, is provided, the user computing station comprising a user input device, wherein each of the selected one of the plurality of attributes is selected responsive to the user input device, and wherein each of the selected one of the plurality of values for each of the selected one of the plurality of attributes is selected responsive to the user input device.