Targeted Information Distribution via Movement Trajectory Analysis
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Solution Overview
Problem
Information distribution through social networking services often results in a dilution of value as information is transmitted to individuals who are not genuinely interested in the source, leading to a loss of effectiveness in advertising and communication.
Innovation Solution
An information processing system that forms communities based on user movement trajectories around specific locations, allowing messages to be distributed only to users who have demonstrated interest in the area, using a combination of electronic signboards and portable terminals for community formation and targeted information dissemination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If information is distributed to all followers through SNS, then the reach and distribution range of information is improved, but the value and effectiveness of the information deteriorates due to being transmitted to persons who are not genuinely interested
Solution Approach 1:
The patent applies local quality by transitioning from broadcasting information to all followers to targeted distribution based on local characteristics. The system identifies users with specific characteristics (such as frequent visitors to particular locations) and directs information only to this localized subset, thereby maintaining high information value while reducing unnecessary distribution to uninterested parties.
Solution Approach 2:
The patent segments the follower base into distinct groups based on their behavior patterns and interests. By analyzing movement trajectories and visit frequency to specific locations, the system divides the audience into segments such as frequent visitors, occasional visitors, and non-visitors, then applies different information distribution strategies to each segment, ensuring information is sent only to those who are likely to find it valuable.
2Area of stationary object
If information is distributed to all followers to maximize reach, then the coverage area is improved, but the effectiveness of advertising and communication deteriorates due to dilution among uninterested persons
Solution Approach 1:
The patent changes the parameter of distribution criteria from binary (follower or not) to multi-level based on behavioral parameters. By measuring and comparing parameters such as visit frequency, movement trajectory patterns, and temporal distribution of visits, the system creates differentiated user categories. This parameter-based differentiation enables targeted advertising that maintains broad coverage while significantly improving effectiveness by excluding uninterested users from the campaign.
Data Source
AI summary
The present technology relates to an information processing system, a recording medium, and an information processing method which are capable of transmitting information to persons who are considered to be worthy of the transmission. An information processing system according to an aspect of the present technology stores position information indicating a position of a device of a user and date information at which position measurement is performed in correlation with each other, forms a community including users who leave a movement trajectory satisfying a predetermined condition at the periphery of a specific location on the basis of a user's movement history indicated by the stored information, and distributes a message input through a specific interface to users who pertain to the community. The present technology is applicable to a device such as an electronic signboard that is installed at a specific location.