Search Term-Document Association System for Reducing Result Filtering Time
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional search engines present users with numerous irrelevant results due to indexing only keywords found within web page content, making it time-consuming to find desired information, and users do not benefit from previous search results.
Innovation Solution
A system that allows users to associate search terms with document addresses, enabling the presentation of previously successful search results to subsequent users, regardless of the terms' presence in the web page content, by creating and storing these associations on a server or user terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional search engines index only keywords found within web page content, then the search engine maintains simple indexing mechanisms, but users face numerous irrelevant results and must sift through thousands of hits to find desired information
Solution Approach 1:
The system performs preliminary actions by collecting and storing successful search associations before they are needed. When a user finds a desired webpage through their search, the system automatically records the association between the search terms and the successful result. These pre-collected associations are then available to improve subsequent searches by the same or different users, eliminating the need to sift through irrelevant results again.
2Reliability
If conventional search engines present tens of thousands of hits to users, then the search engine comprehensively covers potential results, but users must spend significant time sifting through the results to find relevant information
Solution Approach 1:
The system extracts and separates the most valuable information from the comprehensive search results. Instead of presenting all tens of thousands of hits, the system extracts only those associations that have been proven successful by user feedback. This extraction process isolates the relevant results from the noise, presenting users with a refined subset of high-quality matches while maintaining reliability through the accumulation of proven associations over time.
Solution Approach 2:
The system implements feedback mechanisms where user interactions with search results are continuously collected and used to improve future search outcomes. When users indicate which results are successful (either explicitly or through behavior patterns), this feedback is stored as associations. The system then uses this feedback to prioritize and present the most relevant results first, significantly reducing the time users need to spend filtering results while maintaining comprehensive coverage through the growing database of associations.
3Productivity
If search engines do not store or share previous search results, then the system maintains simple data storage requirements, but each user must independently undergo the trial and error process of finding desired web pages
Solution Approach 1:
The system creates and stores copies of successful search associations for reuse. Instead of requiring each user to independently discover and test search terms, the system copies the proven associations from previous successful searches and makes them available to subsequent users. These copied associations significantly improve search efficiency by allowing users to benefit from the collective search experience of all previous users, while the storage requirements remain manageable because only the essential association data (search terms and successful results) is retained, not complete search sessions.
Data Source
AI summary
A system and method associates a search term with a document accessible over a network. In one embodiment, the search term and an address to the document is received from a user. The system creates the association responsive to user input indicating that the association should be made, and presents the association to users responsive to a subsequent query that includes the search term. The address may be, for example, a URL or an IP address of a web page accessible over the Internet.