Rendezvous Location Prediction Scoring
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Solution Overview
Problem
Electronic devices face challenges in accurately predicting the location of a rendezvous based on input schedule information due to difficulties in distinguishing between multiple locations with the same name and lack of address data in external databases.
Innovation Solution
An electronic device that integrates user location history with external databases to score and predict the intended rendezvous location by recognizing input schedule information, using a combination of place and region data scoring and user location history analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the electronic device performs a search through an external database including place name and address, then the device can provide location information, but the accuracy of the rendezvous location is low when multiple stores with the same name are distributed in several regions
Solution Approach 1:
The patent introduces an intermediary scoring mechanism that evaluates multiple candidate locations from the external database and user location history. The controller calculates scores for each candidate place based on matching schedule information with location history data, and selects the location with the highest score. This intermediary scoring system resolves the ambiguity of multiple locations with the same name by quantitatively determining the most likely intended location.
Solution Approach 2:
The patent changes the parameter of location identification from simple name matching to a composite scoring system. The controller calculates scores based on multiple parameters including the match between schedule place names and location history place names, and the proportion of the schedule place name in user location history data. This parameter transformation enables accurate distinction between multiple locations with identical names.
2Adaptability or versatility
If the external database does not have an address corresponding to the input schedule information, then the device can still search for locations, but the device may have difficulty in providing the accurate location to the user
Solution Approach 1:
The patent enables the system to self-correct for missing address data by utilizing user location history. When the external database lacks address information for a schedule place, the controller automatically searches the user's location history for matching place names, calculates scores based on the proportion of the place name in location history data, and determines the rendezvous location without requiring complete external database entries. This self-service mechanism ensures accurate location prediction even with incomplete external data.
Data Source
AI summary
A method of predicting a location of a rendezvous and an electronic device for providing the same are provided. The electronic device includes a display unit configured to display a screen executing a schedule management service application and a predicted rendezvous, a storage unit configured to store schedule information input into the application, data related to a place and a region, and a user location history, and a controller configured to recognize the input of the schedule information, score place data based on a schedule place name of the schedule information, and predict a rendezvous based on at least one piece of place data having a high score among the pieces of scored place data.