Information Processor for Targeted Nursing Care Ads
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Solution Overview
Problem
Existing information processing systems fail to effectively recommend nursing care items to caregivers and individuals in need, as they do not consider the similarity in relationships and life environments between users, leading to irrelevant advertisements.
Innovation Solution
An information processor that includes a processor and memory, holding information on relationships, item purchase histories, and life environments of caregivers and individuals, which judges similarities to provide targeted advertisements based on these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If general advertisement systems are used to recommend nursing care items, then advertisement coverage is broad, but advertisement relevance to users deteriorates
Solution Approach 1:
The patent segments users into different groups based on their relationships (caregiver-care recipient pairs) and life environments. By dividing the user base into distinct segments with similar characteristics, the system can deliver targeted advertisements that are relevant to each segment's specific needs while maintaining broad overall coverage through multiple segments.
Solution Approach 2:
The patent applies local quality by providing different advertisement content to different user segments based on their specific relationship characteristics and life environments. Each user group receives advertisements tailored to their local context (specific care needs, relationship dynamics), rather than a uniform advertisement approach for all users.
2Measurement precision
If targeted advertisement systems based on user similarity are implemented, then advertisement relevance improves, but system complexity increases
Solution Approach 1:
The patent performs preliminary action by pre-establishing user profiles that capture relationship information and life environment characteristics before the advertisement delivery process. This preliminary structuring of user data enables efficient similarity matching and targeted advertisement selection without requiring complex real-time analysis during advertisement delivery.
Solution Approach 2:
The patent introduces an intermediary mechanism (user similarity assessment based on predefined relationship and environment criteria) that mediates between the broad user base and targeted advertisement delivery. This intermediary layer simplifies the matching process by using established similarity metrics rather than requiring direct complex comparisons between all users and all advertisement options.
Data Source
AI summary
Provided an information processor capable of proposing more useful items to a user. An information processor includes: a processor; and a memory. The memory holds: first information on a relationship between a first assistant and a first person to be assisted who is assisted by the first assistant; second information on a relationship between a second assistant and a second person to be assisted who is assisted by the second assistant; third information on an item purchase history of the first assistant and/or the first person to be assisted; and fourth information on an item purchase history of the second assistant and/or the second person to be assisted. The processor judges a similarity between the first information and the second information, and provides an advertisement based on the fourth information to the first assistant and/or the first person to be assisted if judging that a similarity is observed between the first information and the second information.