5 results about "Personalized communication" patented technology

We provide the system. [Solution] A means of collecting and organizing regional information from multiple data sources, A means of creating characteristic information for each user and managing interest information, means for generating personalized communication based on the aforementioned characteristic information, A means for transmitting the generated communication to an information terminal, A means of collecting and analyzing user evaluation information, A means of providing real-time communication to support participation in community activities, A system that includes this.

The present disclosure relates to an antenna module and a terminal device. The antenna module comprises: a radio frequency component; at least two antennas distributed in different positions; a first switch component arranged on a connection line between the radio frequency component and each of the antennas; wherein the first switch component is used to turn on the connection line between the radio frequency component and a target antenna in the at least two antennas when an antenna selection instruction indicates the target antenna. The antenna module of the embodiment of the present disclosure is provided with multiple antennas with the same communication function and distributed in different positions, so that the communication coverage is larger, and the specified antenna in the multiple antennas can also be controlled to work in communication according to the antenna selection instruction, realizing personalized communication selection.

This invention relates to the field of multimodal analysis technology and discloses an AI-based method for stakeholder influence analysis and communication strategy optimization in IT projects. The method includes: constructing a unified terminology for an IT domain knowledge graph; achieving multi-source data fusion through anonymization and feature correlation calculation; outputting fused data; realizing comprehensive identification and dynamic role mapping of IT project-specific stakeholders; mining latent stakeholders through trajectory influence values; constructing a dynamic mapping model to track role changes; reusing trajectory influence values ​​and role suitability to complete priority ranking; extracting four types of IT-specific influence features; binding influence and technical risk through correlation strength; calculating a dynamic influence index based on a priority index; constructing and calibrating an IT project-specific communication profile; generating personalized communication strategies; performing quantitative verification of strategy suitability; and outputting communication strategies; collecting dual-channel feedback data according to the influence update cycle and simultaneously adjusting the dynamic influence index and communication strategies.

This invention provides a method for constructing a consumer finance sales lead network based on a large language model, belonging to the field of data processing technology. Specifically, it includes: a data access module that reads related data to obtain unstructured text data; a feature enhancement module that uses a semantic network construction strategy and a large language model to perform in-depth analysis of the unstructured text data, performing intent recognition, sentiment analysis, and topic extraction to generate semantic feature tags; a network dynamic construction module responsible for forming a dynamic, multi-dimensional relationship network; an inference module that generates natural language-described, actionable sales leads; and a reach strategy generation module that automatically generates or recommends personalized communication scripts based on the generated sales leads. Furthermore, based on the semantic network construction strategy and the recommendation matching of different marketing activities, it determines the user profile groups that require optimization of the semantic network construction strategy, thereby improving the matching degree of the recommendation processing.

The present disclosure regards an electronic device configured to generate personalized communications regarding patient treatment plans. The electronic device includes a processor configured to perform various operations. These operations include receiving data regarding a patient, where the data includes treatment plan data regarding a treatment plan prescribed for the patient and other data regarding a healthcare provider, a clinician, a medical record, a social media account, a laboratory, or a pharmacy associated with the patient. The operations also include providing the data to a plurality of machine learning (ML) models configured to generate a personalized communication for the patient based on the data. Additionally, the operations include receiving the personalized from the plurality of ML models, where the personalized communication is addressed to the patient and regards the treatment plan prescribed for the patient. Further, the operations include delivering the personalized communication to the patient.