Maps History Analysis for Location-Based Search Automation
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Solution Overview
Problem
Users face inconvenience in accessing relevant geographical information during trips, as existing solutions require manual re-entry of searches and lack comprehensive attraction recommendations, especially for travelers.
Innovation Solution
A method and system that store and analyze a user's maps search history to provide contextually relevant information based on current location, including directions, queries, and click entries, and aggregate location history data to suggest popular attractions within a geographic area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a user manually records and enters information about attractions visited, then information about visits can be obtained, but the comprehensiveness is incomplete as many users are not interested in manually recording information
Solution Approach 1:
The system automatically performs the information recording task without requiring user action. The mobile device's location data is automatically monitored and analyzed to determine which attractions the user has visited, eliminating the need for manual recording while ensuring comprehensive data collection
Solution Approach 2:
The manual mechanical process of user recording is replaced with an automated electronic system that uses location data tracking and analysis algorithms to automatically identify and record attraction visits based on the device's geographic position and movement patterns
2Loss of information
If a user repeats their search in the maps application during the actual trip, then relevant location information can be retrieved, but it is cumbersome and time-consuming
Solution Approach 1:
The system pre-processes and stores the user's maps search history and location data before the trip occurs. When the user is at a location, the system automatically retrieves relevant information from the pre-stored data without requiring the user to repeat searches, saving time and effort
Solution Approach 2:
The system continuously monitors the user's current location and automatically provides relevant information based on real-time location feedback, eliminating the need for the user to manually initiate searches and wait for results
3Adaptability or versatility
If tourists survey and select attractions from available options, then they can plan their visit, but it is difficult to survey and select attractions during a particular visit due to the large number of different attractions
Solution Approach 1:
Instead of presenting all available attractions globally, the system focuses on providing attraction recommendations localized to the user's current geographic area. This localizes the information to make it manageable and relevant, reducing the complexity of surveying attractions by only showing what is nearby
Solution Approach 2:
The system extracts and filters the large set of available attractions down to only those that are relevant to the user's current location and context, separating the useful information from the overwhelming总量的 of available options
Data Source
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AI summary
Techniques are disclosed herein that generally involve storing a historical record of a user's maps searches (a maps history), and providing a user with relevant information about elements in their maps history based on the location of a mobile device associated with the user. Such elements can include generic queries, specific queries, direction queries, click entries, places, and so forth. In some examples, the mobile device's location is provided to a server, which in turn processes the user's maps history to determine which elements from the maps history may be relevant to the mobile device's current location. Elements that are determined to be of possible relevance, and/or information relating thereto, can then be presented to the user, in many instances decreasing the time and effort required for the user to locate map-based information for which they are searching.