5 results about "Family based" patented technology

The application relates to the technical field of communication, and discloses a left-behind family identification method, device and equipment and a storage medium, the method comprising the following steps: identifying an old-young family based on a local user's social circle, identifying off-site workers through an off-site worker group identification model, determining the home of the off-site workers, and identifying a left-behind family according to the old-young family and the home of the off-site workers; since the off-site workers are identified through the off-site worker group identification model, and the left-behind family is identified according to the family member definition of the left-behind family, the old-young family is identified, the off-site workers are identified, and finally the off-site workers are associated with the old-young family, so that the left-behind family is identified, the accuracy of the off-site worker identification is improved, and the left-behind family identification is realized.

This document describes systems and techniques directed to integrating and summarizing relevant information from family event data. Various examples are described herein, including a method that includes receiving, by a machine learning (ML) model, family data, and generating, by the ML model, a relevance based on the family data. The techniques further include generating, based on the relevance, a family summary that includes a textual summary of a subset of the family data that is relevant to the relevance. The techniques can then generate, based on the family summary, a family output for output to a user. By doing so, the user can gain a better understanding of their home through a relevant and useful summary of trends, patterns, and events that occur within their home.

The invention discloses an informatization intelligent interaction system, and relates to the technical field of informatization intelligent interaction, and the system comprises the steps: obtaining the historical behavior habit multi-dimensional data of a household target user, and quantifying the personalized portrait of the household target user; based on an edge heterogeneous sensor, acquiring real-time behavior action data of a family target user, and analyzing a family target user demand vector in the real-time behavior action data; performing association analysis based on the personalized user portrait of the family target user and the family target user demand vector, and generating a family target user demand instruction set; and according to the household target user demand instruction set, performing priority analysis on the intelligent household equipment, generating a household equipment interaction task of the household target user, and generating an informatization intelligent interaction scheme. The intelligent home system has the beneficial effects that the personalized and intelligent degrees of the home system are improved, so that the life of a user is more convenient and efficient, and meanwhile, the adaptability and flexibility of the system are also improved.

This invention discloses a personalized financial service recommendation method and system based on an intelligent large-scale model, belonging to the field of service recommendation technology. After authorization from the user's family, basic social attribute information of family members is collected, and a relationship structure graph and financial behavior path chain are constructed. Based on the family members' family identity and operation frequency, the financial behavior path chain is sequentially merged; a family financial behavior matrix is ​​constructed; the financial behavior intensity value of family members is calculated; the behavioral preference value of all family members under each service type is calculated; a financial service behavior preference vector for the user's family is constructed, and the similarity of behavioral preferences between different user families is calculated; a preset threshold is used to analyze and provide unified financial service recommendations for the user's family. This invention constructs a family financial profile through an intelligent large-scale model, achieving personalized service matching while improving the systematicness and accuracy of financial services, significantly enhancing the relevance of recommendations and user satisfaction.

The invention relates to the technical field of financial risks, and particularly discloses a knowledge graph-based family credit risk conduction analysis method and system, and the method comprises the steps: obtaining the family member data of a target family, and calculating the personal risk value of each family member of the target family; acquiring family communication data of a target family, constructing a member knowledge graph of the target family, and constructing a risk conduction matrix of the target family; determining risk conduction sub-data of each family member of the target family; and determining risk conduction data of the target family based on the member knowledge graph of the target family, the personal risk value of each family member, the risk conduction sub-data and the risk conduction matrix. According to the method, networked and systematic analysis of family credit risks can be realized based on the knowledge graph, hidden relatives associated risks are accurately mined, the comprehensiveness and accuracy of risk pre-judgment are improved, high-value decision support is provided for family credit risk management and control, and risk analysis requirements of a complex family structure are met.