Search Navigation Pattern Recognition for Session Automation
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Solution Overview
Problem
Users face inefficiencies in repeating search sessions for similar queries, as they must manually re-enter parameters and navigate through the same series of steps, which is time-consuming and tedious, especially for searches involving specific entities or categories.
Innovation Solution
A system that recognizes and utilizes pre-existing search navigation patterns to conduct search sessions automatically, providing search results that include information or links associated with intermediate steps, allowing users to access desired information without repeating the navigation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually repeat search sessions for similar queries, then they can access comprehensive information, but the process becomes time-consuming and tedious
Solution Approach 1:
The system performs preliminary actions by automatically executing the navigation pattern (visiting manufacturer website, consumer reports, blue book value sites, dealer sites, review sites) without requiring user re-input. The navigation pattern is stored and reused, so the comprehensive information gathering is accomplished through automated preliminary execution rather than manual repetition
Solution Approach 2:
The system creates a copy of the navigation pattern from a previous search session and applies it to the current search. Instead of manually repeating the same sequence of visits and steps, the system copies the established navigation pattern (including intermediate steps and parameter settings) and executes it automatically, preserving comprehensive information access while eliminating manual repetition
2Measurement precision
If users enter parameters repeatedly for each search, then accurate search results are obtained, but the operation becomes tedious
Solution Approach 1:
The system serves itself by automatically populating search parameters based on the stored navigation pattern. Instead of requiring users to manually enter parameters like make, model, year, and other search criteria each time, the system extracts and applies these parameters automatically from the pattern, maintaining measurement precision while eliminating repetitive user input
Solution Approach 2:
The parameters are prepared in advance as part of the navigation pattern during the first search session. When the same search type is performed later, these pre-prepared parameters are automatically applied without requiring user re-entry, ensuring both accuracy and ease of operation
3Loss of information
If users manually navigate through multiple steps for each search, then comprehensive results are achieved, but productivity decreases
Solution Approach 1:
The system merges multiple individual search steps into a single automated navigation pattern execution. Instead of requiring users to separately visit manufacturer websites, consumer reports, blue book sites, dealer sites, and review sites as distinct manual operations, these steps are merged into one automated pattern that executes comprehensively, maintaining result completeness while dramatically improving productivity
Solution Approach 2:
The multi-step navigation pattern is established in advance through preliminary execution. Once the comprehensive search path is determined in the first session, it is stored and automatically reused, allowing the system to achieve complete search results through a single automated pattern execution rather than requiring users to manually navigate through multiple steps each time
Data Source
AI summary
Systems, methods, and computer-readable storage media are provided for conducting searches utilizing search navigation patterns. Search queries are received that include search terms that are of a particular type. It is recognized that at least one prior search session has been conducted that included a search query having search terms of an equivalent or similar type and followed a particular navigation pattern. Such prior search(es) may have been conducted by the user or by a different user and/or may have a navigation pattern that was affirmatively recorded by the requesting user or that was recorded by the system without explicit contemporaneous user instruction to do so. Upon identifying the navigation pattern associated with the prior search, the system effectively conducts a search session following the navigation pattern.