Specialized Search Result Generators for Personalized Queries
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Solution Overview
Problem
Users often face difficulties in obtaining desired search results on general-purpose search engines due to the lack of specialized search functionality tailored to their specific interests, and third-party content providers are limited in their ability to enhance search result pages on these platforms.
Innovation Solution
A system and method that allows third-party content providers to specify parameters for displaying specialized search results on general-purpose search engines by using an Application Programming Interface (API), enabling them to provide tailored results based on query patterns, including links, text, and interactive elements, which users can subscribe to for a personalized search experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users search on general-purpose search engines, then they can access a wide range of information, but they cannot obtain specialized search results tailored to their specific interests
Solution Approach 1:
The patent introduces specialized search result generators as intermediary components that bridge general-purpose search engines and specialized content providers. These generators receive queries from the search engine and transform them into specialized results from content providers, enabling specialization without requiring users to visit multiple websites. The intermediary layer processes queries and delivers tailored results while maintaining the simplicity of a single search interface.
2Adaptability or versatility
If third-party content providers want to enhance search result pages, then they can provide tailored information, but they are limited in their ability to do so on general-purpose search engines
Solution Approach 1:
The patent segments the search system into independent functional components: general-purpose search engines, specialized search result generators, and content providers. Each component operates independently with well-defined interfaces. Content providers focus on providing specialized content, while search result generators handle the integration logic. This segmentation enables content providers to enhance search results without managing complex system integration themselves.
Solution Approach 2:
Search result generators act as intermediaries between content providers and the search engine. These intermediaries handle the complexity of query transformation and result integration, allowing content providers to simply provide specialized information without dealing with the complexities of search engine integration protocols, authentication, and result formatting.
3Adaptability or versatility
If users want personalized search results based on their interests, then they can receive tailored information, but they must manually specify their preferences which adds complexity
Solution Approach 1:
The system implements self-service personalization by automatically analyzing user search behavior and preferences to generate personalized search results without requiring manual user configuration. The search engine monitors query patterns, identifies user interests, and automatically selects appropriate specialized search result generators. Users benefit from personalized results while the system handles the complexity of preference analysis and configuration autonomously.
Data Source
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AI summary
Third party content providers can specify parameters for generating specialized search results in response to queries matching specific patterns. User enters query at search site (802). The search query is sent (803) to front-end server forwarding query to trust servers (804). The trust servers retrieves a list of content providers (805). For each providers in the list, the trust server request specialized data from providers (806). The specialized results are returned (807) to the trust server (805), which renders the result in HTML form and sen to front-end server (808). The front-end server relays HTML-rendered results to search site (809). The search site generates result page and transmits to client (810) and The client or browser displays the results for user (811). The user can tailor their search experience and see results that are more likely to be of interest of them.