Intelligent Device User Profile Clustering for Service Recommendation
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Solution Overview
Problem
Current methods for providing customized services using big data technologies are inadequate in generating accurate user profiles for personalized recommendations, as they fail to effectively utilize diverse data sources and advanced analytics to understand user characteristics and behaviors.
Innovation Solution
A method and device for generating user profiles by acquiring source data, clustering relevant information, and using artificial neural networks to determine user characteristics such as having children, marriage status, pet ownership, transportation methods, and employment status, which are then used to recommend services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional big data technologies are used for user profiling, then data processing capability is maintained, but profile accuracy and personalization effectiveness deteriorate
Solution Approach 1:
The patent transforms user data from raw format into structured profile parameters through clustering analysis. User behaviors, preferences, and characteristics are converted into quantifiable parameters that can be systematically processed and used for accurate service recommendations, directly improving profile accuracy and personalization effectiveness
Solution Approach 2:
The patent introduces an intelligent device as an intermediary between data sources and service recommendation systems. This device performs clustering analysis and generates user profiles that bridge the gap between raw data and personalized services, enhancing both measurement precision and adaptability
2Loss of information
If diverse data sources are utilized for user profiling, then profile comprehensiveness is improved, but data processing complexity increases
Solution Approach 1:
The patent segments diverse user data into distinct clusters based on similarity and characteristics. By dividing comprehensive data into manageable clusters, the system maintains profile comprehensiveness while reducing processing complexity through organized data structures that can be handled more efficiently
Solution Approach 2:
The patent combines multiple data sources (user behaviors, preferences, demographics) into unified user profiles through clustering. This merging process integrates diverse information into a coherent structure that preserves comprehensiveness while simplifying the overall data representation for processing
Data Source
AI summary
Disclosed is a method for controlling an intelligent device, the method including: acquiring source data for generating a profile of a user; generating a cluster related to recommendation of a service by using the source data; generating the profile of the user using the cluster; and transmitting the profile of the user to a server, wherein the server recommends the service to the user based on the profile of the user. Accordingly, the present disclosure may automatically recommend an appropriate service to a user. The intelligent device of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.