Sleep-Aware Service Recommendation Using Purchase History
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Solution Overview
Problem
Existing systems fail to accurately recommend products based on user preferences while considering their actual sleep situation, leading to a mismatch between recommended and preferred products, thus not effectively improving user life.
Innovation Solution
A service output system that integrates user identification, sleep state acquisition, purchase information analysis, and service recommendation to provide personalized services and life improvement content, including audio content, advice, and device control, based on both user preferences and sleep states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a recommended product is selected using only biological data during sleep, then the sleep situation is considered, but the user preference is not reflected, leading to a mismatch between recommended and preferred products
Solution Approach 1:
The patent combines biological data from sleep analysis with purchase history data to create a comprehensive recommendation system. The service specifying unit integrates both data sources to specify services that satisfy both sleep-related needs and user preferences, resolving the contradiction between accurate sleep analysis and preference-relevant recommendations
Solution Approach 2:
The service specifying unit acts as an intermediary that processes both biological data and purchase information to generate recommendations. This intermediary component synthesizes multiple data sources to produce services that are both scientifically grounded in sleep data and aligned with user preferences derived from purchase behavior
2Adaptability or versatility
If multiple data sources are integrated to provide personalized services, then user satisfaction is improved, but system complexity increases
Solution Approach 1:
The service output system is designed to handle multiple types of data (biological data, purchase information) and provide multiple types of services (service recommendations, life improvement content, audio content) through a unified platform. This multi-functional design achieves high personalization capability while managing system complexity through integrated architecture
Data Source
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AI summary
A service output system according to an embodiment comprises: for each user, an identification information assigning unit that assigns identification information identifying a user; a user specifying unit that specifies the user identified by the identification information; a sleep state acquisition unit that acquires a sleep state of the user; a purchase information acquisition unit that acquires purchase information indicating a product purchased by the user; a service specifying unit that specifies a service recommended to the user from the purchase information and the sleep state; a service output unit that outputs the service toward the user; and a content providing unit that provides life improvement content improving a life of the user.