Advertisement Distribution Using Unused Function Detection
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Solution Overview
Problem
Existing advertisement distribution methods fail to accurately determine appropriate destinations for products targeted at users who are allergic to specific allergens, as there is a low relevance between the user's life pattern and the functions executed by their devices.
Innovation Solution
An advertisement distribution method that collects execution information from home appliances, detects unused functions, and transmits targeted advertisements to users likely to purchase products that avoid specific allergens, based on analysis and rule information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advertisement distribution is based on execution information from home appliances, then advertisements matching device functions can be distributed, but appropriate distribution cannot be determined for products with low relevance to device functions (e.g., allergen-free products)
Solution Approach 1:
The patent transitions from analyzing only execution information (one dimension) to analyzing both execution information and unused function information (adding another dimension). This dimensional expansion enables the system to identify user preferences for products with low relevance to device functions, such as allergen-free products, by detecting functions that are available but not used, thereby resolving the contradiction between measurement precision and adaptability.
Solution Approach 2:
The patent performs preliminary detection of unused functions before advertisement distribution. By analyzing which functions are available but not used in home appliances, the system proactively identifies user preferences and needs in advance, enabling more accurate advertisement distribution for diverse product types including those with low relevance to device functions.
2Device complexity
If only execution information is collected from home appliances, then data collection is simple, but user preferences for unused functions cannot be identified
Solution Approach 1:
The patent makes the data collection process multi-functional by using the same data collection infrastructure to gather both execution information and unused function information. This approach maintains the simplicity of the collection process while simultaneously obtaining comprehensive user preference data, thereby resolving the contradiction between device complexity and information completeness.
Data Source
AI summary
To provide an advertisement distribution method of determining a distribution destination of an advertisement of a product that has a low direct relevance to execution pieces of information collected from home appliances. The advertisement distribution method includes: a collecting step of collecting, from each of one or more of home appliances owned by each of users, one or more pieces of execution information each indicating a function that has been executed by the home appliance; a detecting step of, with respect to each user, detecting an unused function that has not been used in each home appliance by analyzing the collected pieces of execution information and functions of the home appliance; and a transmitting step of extracting a user who is expected to purchase a product based on a detection result, and transmitting an advertisement to one or more of the home appliances owned by the extracted user.