Search Engine Third-Party Data Integration
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Solution Overview
Problem
Current search engines often provide inaccurate results when users search for keywords not referenced or similar to terms found within the database, leading to a frustrating experience as users may need to perform multiple searches across various engines to find relevant information.
Innovation Solution
An enhanced search engine that utilizes third-party content, such as data from websites providing consumer reports and reviews, by crawling and analyzing textual and visual data to identify relevant categories and items, and then ranks search results based on relevancy scores, incorporating user interaction data to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current search engines utilize only internal database data for search results, then the search system remains simple and fast, but the accuracy and relevance of search results deteriorate when users search for keywords not referenced in the database
Solution Approach 1:
The patent merges internal database data with external third-party data sources to create a hybrid search system. The search engine combines results from the internal database with relevant information from third-party websites, consumer review sites, and other external sources to provide more accurate and comprehensive search results while maintaining system manageability through modular integration.
Solution Approach 2:
The patent introduces an intermediary layer that acts as a bridge between the user's search query and multiple data sources. This intermediary component processes queries, routes them to appropriate internal and external sources, aggregates results, and ranks them by relevance, thereby improving accuracy without exposing the full complexity of multiple data sources to the user.
2Adaptability or versatility
If search engines rely solely on their own database, then the system maintains data consistency and control, but the versatility and coverage of searchable information deteriorates
Solution Approach 1:
The patent implements a dynamic search system that adapts its data sources based on the query type and requirements. For routine queries, it relies on the stable internal database; for specialized queries requiring external expertise or current information, it dynamically incorporates third-party sources, thereby balancing versatility with controlled reliability.
Solution Approach 2:
The patent applies different quality standards and verification processes to different data sources based on their intended use. Internal database data receives standard validation, while third-party data undergoes additional relevance checking and source credibility assessment, ensuring that each data source contributes appropriately to maintain overall system reliability while expanding coverage.
Data Source
AI summary
Systems and methods are described herein for generating enhanced search results utilizing third-party website content within a search engine provided by an electronic catalog of a service provider. This content may be collected in advance of query processing and analyzed to identify a category indicating some attribute of the content (e.g., terms mentioned, topics discussed, object depicted in images/videos/3D data of the content, etc.). Items may be matched to the website through analyzing the textual and/or visual representation data of the website to textual and/or visual representation data associated with an item offered within the electronic catalog. A query may be subsequently received and a third-party website may be identified as being relevant to the search query. In response to the query, the third-party website may be included in a search result list along with images and/or text identifying items pertaining to that website.