Dynamic Search Engine Combining Primary and Secondary Database Queries
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Solution Overview
Problem
Conventional search engines provide static search results that do not adapt to user interests or dynamic factors, leading to irrelevant information and lower click-through rates for advertisers.
Innovation Solution
A system and method for dynamically generating search results by combining primary and secondary database searches, incorporating real-time data from various sources such as inventory, market, and user demographics to create listings that are relevant and timely.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional search engines provide static search results based on document content, then the search results are simple to generate, but the relevancy to user interests and dynamic factors deteriorates
Solution Approach 1:
The patent combines primary search results from document content with secondary search results from multiple dynamic databases (inventory, product information, scheduling, market-related, location databases) to create integrated search listings that reflect both static document information and dynamic real-world data, thereby improving search relevancy
Solution Approach 2:
The search system transitions from static document-based results to dynamic search listings that are generated in real-time by querying multiple databases and updating results based on current data, making the search results adaptable to changing user interests and market conditions
2Measurement precision
If search results are generated based on document content only, then the system is simple to operate, but the information accuracy and timeliness deteriorates
Solution Approach 1:
The system pre-establishes connections to multiple secondary databases (inventory, product information, scheduling, market-related, location databases) and pre-defines search parameters, enabling rapid retrieval and integration of accurate real-time data without complicating the user search process
3Productivity
If static search results are provided, then the click-through rate for advertisers is lower, but the system complexity is reduced
Solution Approach 1:
The patent enhances specific portions of search listings with dynamic data from secondary databases (such as inserting current inventory status, pricing, or location information into relevant parts of the listing), making those local areas more attractive and informative to users, thereby increasing click-through rates without requiring complete system redesign
Data Source
AI summary
A search engine for dynamically generating search results for the user is disclosed. In one embodiment, the user submits a first search query for searching a primary database, such as the content obtained from the World Wide Web, and the search engine obtains primary search listings based upon the search query, which search listings are distinguished from banner advertisements. The system then performs a further search of one or more secondary databases. The secondary search is initiated by the user or automatically by the system, based upon one or more search parameters. The secondary databases may include internal databases maintained by a provider of goods or services, databases that are updated in real time, or databases that include data obtained from a variety of different sources. Examples of secondary databases include inventory databases, product information databases, scheduling databases, market-related databases, location databases or any other database. The search engine compiles the primary search results and secondary search results to produce dynamic search results. The system then presents the dynamic search results to the user, advantageously providing enhanced search listings that include both static and dynamic content relevant to the user's interests and needs.