Activity Area Estimation Using Location Data Filtering
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Solution Overview
Problem
Existing activity area estimation methods for target users in social networking services (SNSs) often inaccurately estimate activity areas due to the inclusion of irrelevant position information in posted content.
Innovation Solution
An activity area estimation apparatus that generates first location information from posted content, decides on its usefulness using related user information, and estimates the activity area based on the useful location information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If position information from posted information is used to estimate activity area, then the quantity of location data increases, but the estimation accuracy deteriorates due to inclusion of irrelevant positions
Solution Approach 1:
The patent segments the posted information into multiple components: first position information (user's actual location), second position information (related user's location), and third position information (location mentioned in text). This segmentation allows selective processing and filtering of different position types to improve estimation accuracy while managing the quantity of location data.
Solution Approach 2:
The patent extracts and filters out irrelevant position information from the posted content. By identifying and removing the second position information (related user's location) and third position information (mentioned locations) that are not reflective of the target user's actual activity area, the system retains only the first position information that accurately represents user activity, thereby resolving the contradiction between data quantity and accuracy.
2Loss of information
If all position information in posted content is utilized, then data completeness improves, but estimation reliability deteriorates due to irrelevant location data
Solution Approach 1:
The patent performs preliminary classification and filtering of position information before estimation. By预先 identifying and categorizing different types of position information (first, second, and third position information) and removing irrelevant ones, the system ensures that only reliable location data is used for activity area estimation, thus maintaining both completeness and reliability.
Solution Approach 2:
The patent introduces an intermediary filtering mechanism that processes the raw posted information. This intermediary layer identifies and separates relevant first position information from irrelevant second and third position information, acting as a mediator between the complete posted data and the final estimation process, thereby preserving reliability while maintaining data completeness.
3Quantity of substance
If position information from related users is included, then the amount of available data increases, but the precision of target user activity area estimation decreases
Solution Approach 1:
The patent specifically extracts and removes the second position information (related user's location) from the dataset used for estimation. By taking out this irrelevant data that does not reflect the target user's actual activity area, the system maintains data completeness for other relevant information while eliminating the precision-degrading effect of related user positions.
Solution Approach 2:
The patent segments the position information into distinct categories, separating the first position information (target user's location) from the second position information (related user's location). This segmentation enables selective use of only the relevant first position data for estimation, preventing the dilution of precision that would occur if all position data were mixed together.
Data Source
AI summary
In order to improve accuracy of estimating an activity area of a target user, an activity area estimation apparatus includes: a first generation unit that generates, based on first posted information of a target user, first location information; a usefulness decision unit that decides, by using related user information relating to a related user being a user related to the target user, whether the first location information is useful in order to estimate an activity area of the target user in a real space; and an activity area estimation unit that estimates, by using the first location information decided as being useful, the activity area of the target user.


