Executable Search Packages for Standardizing AI-Augmented Queries
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Solution Overview
Problem
Different search scientists using various tools and strategies produce non-directly comparable search results due to differences in data sets and search engines, making it challenging to replicate or verify searches across different systems or data sets.
Innovation Solution
A method for creating a shareable, executable package that applies augmentation AI models to searches, allowing the package to be executed by multiple search engines, thereby standardizing search strategies and tools, and enabling the replication of searches across different data sets or search engines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If different search scientists use different search engines and tools, then each searcher can apply their personal skills and experience, but the search results become non-directly comparable and难以 to replicate
Solution Approach 1:
The patent creates executable search packages that capture and replicate the complete search process including queries, filters, and AI model applications. These packages can be copied and executed by other searchers on different data sets, ensuring that the same search strategy produces comparable results across different researchers and systems.
Solution Approach 2:
The patent standardizes search parameters by encapsulating search queries, filters, and AI model configurations into executable packages. This standardization allows the same parameter set to be applied across different search engines and data sets, making results directly comparable while still allowing flexibility in the underlying data and specific search topics.
2Adaptability or versatility
If search scientists use different data sets, then each can study their specific topic, but the results become incomparable due to data differences
Solution Approach 1:
The executable search packages are designed to be universally applicable across different data sets and search engines. The same package can be executed on varying data sets, allowing researchers to maintain adaptability to different topics while ensuring that the search methodology remains consistent, thereby enabling precise comparison of results across different data sets.
3Ease of operation
If different search engines are used, then each searcher can choose their preferred tool, but the analysis methods differ and results cannot be directly compared
Solution Approach 1:
The executable search package acts as an intermediary that standardizes the search process across different search engines. The package encapsulates the complete search methodology and can be executed on any compatible search engine, maintaining search consistency while allowing flexibility in the underlying search engine platform.
Data Source
AI summary
Performing collaborative search engine searching. The method includes receiving user input at a user interface for performing a plurality searches on a first search engine. The method further includes receiving user input at the user interface applying one or more augmentation AI models to searches in the plurality of searches. The method further includes creating a shareable, executable package executable by one or more search engines based on the plurality of searches and the applied AI models that when executed by the search engines causes the search engines to apply the AI models to searches performed at the search engines.