133 results about "Information Dissemination" patented technology

Techniques for generating AI-powered responses tailored to a specific entity's communication style. The techniques involve selecting a particular AI agent associated with an entity, receiving a user query, and generating an embedding from it. This embedding is used to retrieve relevant content from the entity's knowledge database. The entity's communication type is then determined. A large language model (LLM) prompt is created, combining the retrieved content and instructions to apply the entity's communication style. This prompt is submitted to an LLM service, which generates an output. A response based on this output is returned to the user. The techniques enable the creation of AI-generated responses that are both informative and aligned with the entity's preferred communication style, enhancing the consistency and effectiveness of AI-powered customer interactions or information dissemination for the entity.

The invention discloses an intelligent community service management system based on big data, relates to the technical field of community service management, and realizes breakthrough improvement through multi-dimensional dynamic perception-self-evolution decision chain design: a cold start unit triggers the highest-level response at the moment of message release based on extreme event marks and geofences, and sends the highest-level response to a server; fatal delay of waiting for heat accumulation in a traditional scheme is thoroughly avoided; the space-time sensitivity quantification module adaptively adjusts the space-time contribution weight through a dynamic trade-off coefficient, and ensures that the night low-activity period does not report mistakenly and the information surge period does not miss; in the disaster evolution graph, a space-time attenuation model of node urgency degree coupling replaces an artificial rule, and a disaster diffusion path is automatically identified; and the multi-modal verification module calls an official disaster situation API and image recognition to block a false information propagation chain.

The invention relates to a rumor detection method based on dual-domain perception structure feature fusion learning, and belongs to the technical field of natural language processing and information spreading. The method comprises the following steps: acquiring a social media message event data set, constructing a post propagation network graph and a user social network graph, and extracting post propagation features and user social features; identifying a rumor diffusion key time window by using a propagation density peak value and slope division method, and extracting substructure features; processing the sub-features through a mutual attention mechanism to obtain fusion features; the method comprises the following steps: constructing a projection matrix through fusion features, carrying out weighted summation on the fusion features by adopting the projection matrix to obtain interaction features, further generating first weighted post propagation features and first weighted user social features, carrying out homogeneous interaction information modeling to obtain a final homogeneous interaction comprehensive representation, splicing the final homogeneous interaction comprehensive representation with original tweet features, and carrying out classification. And obtaining a rumor detection result. The rumor detection precision and robustness can be improved.

The invention discloses a short video platform-oriented multi-modal event information propagation strategy identification method and system, and the method comprises the steps: S1, data collection: obtaining data from a short video platform, including video image data, audio data, subtitle text data and user interaction data; s2, data processing: processing the collected video image data, audio data and subtitle text data, and establishing a feature library comprising the video image data, the audio data, the subtitle text data and user interaction data; s3, propaganda strategies are defined and classified; and S4, performing directional analysis according to feature requirements of different propaganda strategies, and performing event information propagation strategy identification. Through multi-modal data analysis, the characteristics of video images, audios and texts are integrated, the limitation that in the prior art, analysis only depends on single dimension is broken through, and the accuracy and comprehensiveness of propaganda strategy recognition are remarkably improved.

The invention relates to a multi-hop RAG question and answer method and system based on path exploration and hyperbolic refining. The method and system are used for solving the problems of reasoning path stiffness and evidence noise interference in the multi-hop question and answer process. The method comprises the steps that complex multi-hop query is received, a multi-level path exploration search strategy is adopted, a hierarchical inference tree is constructed through Monte Carlo tree search, and atomic operations such as direct answering, retrieval answering and sub-question decomposition are sequentially executed to explore an optimal inference path; performing hyperbolic refining on candidate evidences retrieved in the construction process, constructing an evidence graph and performing information spreading by using a graph attention network, thereby performing dynamic reordering and noise suppression on the evidences; and recursively aggregating the processed intermediate question and answer results from bottom to top, and generating a final answer by combining an original query calling language model. According to the method, the continuity and accuracy of multi-hop reasoning are effectively improved, and the method is suitable for natural language processing application such as complex questions and answers and knowledge reasoning.

To compare information transmission in an unspecified field with information extracted from another information source.SOLUTION: A non-transitory computer-readable recording medium storing a program for operating a computer, the program causing a processor of the computer to execute: receiving designation of a text; and extracting, from an information source available to an artificial intelligence system, at least one source text including a description similar to a designated text that is the designated text. Generating a prompt including an instruction to output information about the source sentence and an instruction to compare the extracted source sentence with a specified sentence, and presenting, to a user, the information about the source sentence and a result of the comparison between the specified sentence and the source sentence, based on an answer obtained from a large scale language model provided by an artificial intelligence system by inputting the prompt to the large scale language model.SELECTED DRAWING: Figure 10

The invention belongs to the technical field of network information processing, and aims to provide a cross-platform information propagation analysis method, system, equipment and product. The method comprises the following steps: performing multi-modal data acquisition processing from different platforms to obtain multi-source data, and constructing a knowledge graph according to the multi-source data; performing event topic mining processing and sentiment analysis processing on the knowledge graph to obtain event topic distribution information and a sentiment analysis result, and constructing a propagation graph according to the event topic distribution information and the sentiment analysis result; and obtaining an entity type set, an inter-entity relationship and an entity attribute according to the propagation atlas, and constructing a path tracing database according to the entity type set, the inter-entity relationship and the entity attribute so as to carry out cross-platform information propagation tracing based on the path tracing database. According to the method, cross-platform information propagation analysis can be realized, and the propagation path analysis capability is high.

The invention provides a model training method, an information delivery method and device and electronic equipment. The method comprises the following steps: selecting at least one simulated delivery node from candidate delivery nodes in an information propagation network through a first reinforcement learning model; and generating a simulated delivery strategy for each simulated delivery node through the second reinforcement learning model. And respectively generating simulation release information according to the simulation release strategy of each simulation release node, and simulating a forwarding process of a forwarding node based on the simulation release information released by each simulation release node so as to generate a simulation propagation result of the information propagation network. And updating parameters of the first reinforcement learning model and the second reinforcement learning model by taking the forwarding times of the forwarding node in the simulated propagation result as rewards.

The invention belongs to the field of information systems, and particularly relates to a market promotion community accurate operation system based on social network behavior analysis. The system comprises a data acquisition module, a preprocessing module, a user behavior analysis module, a community member classification module, a precision marketing recommendation module, an information spreading optimization module, a community activeness evaluation module, a feedback optimization module and the like. Through two innovative algorithm formulas of a user interest modeling algorithm based on a topic model and a user influence evaluation algorithm based on a graph neural network, deep analysis and accurate classification of user behaviors are realized. Personalized recommendation can be provided for the user, an information dissemination strategy is optimized, the community activeness is evaluated in real time, the system is optimized according to feedback, and the market promotion effect and the community operation efficiency are effectively improved.

The present application relates to the field of automated translation technology and discloses an intelligent translation method and system based on translation forms. The method comprises: upon receiving a first market information form for a target product sent by a Chinese website, determining whether a first translation form corresponding to the target region and the target product exists in an overseas backend system, wherein the first translation form is used to translate the first market information form; upon determining the first translation form, translating the first market information form according to a data dictionary of the first translation form to obtain first translation information; adjusting the format of the first translation information according to the reading habits of the target region to obtain second translation information, and upon determining that the second translation information passes translation quality verification, pushing the second translation information in real time to the overseas site and / or overseas server corresponding to the target region. The present application can accurately translate industry-specific vocabulary and improve information dissemination efficiency.

1. The name of the design product: floor advertising machine (32 inches). 2. The use of the design product: the design product is used for advertising display and information dissemination. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This application discloses a method for sharing a customized in-vehicle system function scheme, comprising: receiving a sharing request from an electronic device for a customized in-vehicle system function scheme that has been edited; querying the editing information of the customized scheme based on the scene identification code in the sharing request; encrypting the editing information to generate encrypted editing information; generating a sharing link carrying the encrypted editing information; and sending the sharing link to the electronic device, so that the customized scheme can be viewed and inherited by the recipient after sharing. The method for sharing a customized in-vehicle system function scheme of this application can disseminate the content and editing information of the customized scheme in the form of a sharing link through an encryption process, so that the recipient can view and inherit the customized scheme. This allows the content of the customized scheme and the editing information of the sharing party to be disseminated, reducing user operations and reducing the risk of information leakage during dissemination to a certain extent, making the information dissemination process more secure.

A new system for ensuring reliable functionality of a system for laser power supply and information dissemination using receivers located in a location where the public is often aware, such as stores or public offices. These systems employ a wireless power transmitter having a detector for determining whether a venue operates in a case with normal operating times that may interfere with the presence of a person who may interfere with its correct operation, or a typical case of a closed venue with a low occupancy rate or zero occupancy rate, therefore, the system can reliably operate in a mode which can be called a'after-work 'mode. The operations that must be reliably performed include receiver charging, display updating, device maintenance, and software updating. The system may directly detect the presence of human activity, or detect the presence of human activity by suggesting a stop of service, such as lighting or air conditioning, in the area.

The present invention discloses an interpretable false information detection method and device for credible evidence reasoning and spatio-temporal feature aggregation. The method includes: from two perspectives of the user's own authority and information semantic interaction, using the TrustRank random walk idea to calculate the credibility index of comments during the information dissemination process, taking the comments as evidence, and discovering high-quality evidence; combining the credibility index of the evidence, through the long short-term memory network and the graph attention network, aggregating the temporal neighborhood and spatial neighborhood information of the evidence, and selecting and combining the spatio-temporal structural features of the information to enrich the node semantic representation and enhance the reliable representation of the evidence; through the multi-head attention mechanism, modeling the semantic interaction between the evidence and the source information, capturing the false part of the source information, and at the same time modeling the implicit stance of the evidence capsule in a transparent manner through the dynamic routing mechanism. The present invention not only enhances the interpretability of the false information detection result, but also improves the discrimination performance.

The utility model provides a municipal drainage well lid safety warning device, which belongs to the technical field of public safety and comprises a fixed frame, a sliding frame slidably sleeved on the outer surface of the fixed frame, a mounting frame fixedly connected to the top of the sliding frame and a plurality of warning screens fixedly mounted on the inner wall of the mounting frame through bearings. The display mechanism comprises a hand wheel arranged on the outer side of the sliding frame, a connecting shaft fixedly connected to the inner surface of the hand wheel, a first bevel gear fixedly arranged at the penetrating end of the connecting shaft in a sleeving mode, and a second bevel gear meshed with the outer surface of the first bevel gear. Through cooperation of all parts in the display mechanism, the height of the warning screen can be flexibly adjusted, meanwhile, the warning screen can intermittently rotate and display different faces, it is ensured that pedestrians and vehicles approaching a dangerous area from different angles can see warning information of the different faces of the warning screen more clearly, and the warning effect is improved. The information transmission range is expanded while the information visibility is improved.

The embodiment of the invention discloses a group message management and control method and device, a storage medium and a program product. The method comprises the steps that a message sent by a sending end is received, and the message comprises a publisher identity identifier, a group identifier, a message security level and a message body; based on the publisher identity identifier, the group identifier and the message security level, verifying the message; if verification succeeds, based on the group identifier, extracting security levels of all group members in the group from a stored group information table; screening subscribers from the group members based on the security classification of the group members and the message security classification; and pushing the message text to a corresponding terminal device based on the identity label of the subscriber. According to the method, security verification, accurate pushing and management and control of the group message can be realized based on the user security level, improper diffusion of information is avoided, and information security is ensured.

A cross-chain architecture design and performance analysis method for large-scale Internet of Things based on IOTA blockchain, a multi-field, large-scale distributed Internet of Things, trusted, multi-chain, intelligent and efficient blockchain architecture is designed based on IOTA, which realizes low-cost trusted interconnection of blockchains in different fields and establishes a safe shared ecological model. The delay of one-hop transmission is derived using stochastic calculus theory. From the aspects of consensus time, throughput, security and cross-chain interaction efficiency, the performance of the new architecture is analyzed, providing a theoretical basis for the landing of blockchain. At the same time, in order to speed up information dissemination and reduce network overhead, a directional propagation method is proposed to replace the rumor algorithm of IOTA, reducing network overhead.

1. Name of the product in this design: Display Board (Ideological and Political Education). 2. Purpose of this design: This design is intended for use as a display board for ideological and political education information dissemination. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. The name of this design product: Promotional sign. 2. Purpose of this design product: for information dissemination. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The application relates to an international public opinion event information dissemination and control system based on artificial intelligence, and relates to the field of social communication science. The system can monitor, identify, analyze, track and effectively control the information dissemination in international public opinion events in real time. The system uses natural language processing (NLP), machine learning (ML), deep learning (DL) and other artificial intelligence technologies to deeply mine and understand massive cross-language and cross-platform data, thereby realizing accurate identification of public opinion events, intelligent analysis of dissemination paths, early warning and intervention of negative information, and guidance and amplification of positive information. The system aims to improve the control efficiency and accuracy of international public opinion events, maintain social stability, and provide decision support and action basis for relevant departments.

1. Name of the Design Product: Intelligent Media Terminal (AR Digital Intelligent Media Terminal Interactive Platform). 2. Use of the Design Product: An interactive platform for information dissemination, entertainment, and commercial services. 3. Design Key Points of the Design Product: The combination of shape and pattern. 4. Picture or Photo that Best Illustrates the Design Key Points: Three-dimensional view.

The present invention discloses a method for identifying key users on large-scale social networks, comprising the following steps: Step 1: Obtaining a k-hop subgraph of each user node based on the social network structure; Step 2: Obtaining the betweenness centrality of each user node and the upper and lower bounds of the betweenness centrality through hierarchical calculation on the k-hop subgraph of each user node; Step 3: Identifying key users through comparative judgment based on the betweenness centrality of each user node and the upper and lower bounds of the betweenness centrality, thereby obtaining a set of key users. The present invention can quickly locate key users who play an important role in information dissemination in large-scale social networks, providing support for social network management and public opinion prediction and control.

The present invention provides a method and system for predicting early information dissemination based on a diffusion model. The steps of the method include: obtaining a statistically obtained user social graph, the users currently participating in the information dissemination to be predicted, and the time points at which these users participate in the dissemination; determining user codes of the users participating in the information dissemination to be predicted based on the user social graph, and determining a user sequence group based on the user codes and the time points at which these users participate in the dissemination; sequentially constructing a historical dissemination sequence based on the user sequence group; inputting the historical dissemination sequence into a cascaded representation learning module to obtain a first cascaded representation sequence group; inputting the first cascaded representation sequence group into a pre-trained cascaded generation model, the cascaded generation model outputting a second cascaded representation sequence group, the cascaded generation model being a structure of a diffusion model; and inputting the second cascaded representation sequence group into a pre-trained popularity prediction module to output a predicted popularity value.

The invention discloses an MEMS vibration data acquisition and early warning information receiving and publishing method, each MEMS monitoring point becomes a miniature early warning information publishing node, a publishing network with the same density and wide coverage as a sensor network is formed, and the cost is effectively reduced; the earthquake early warning center server makes a decision and authorizes the monitoring point to issue early warning to the terminal user equipment in the preset range, and an innovative architecture of cloud decision and edge issuing is constructed, so that a long path for early warning information to arrive at a user from the center server through an operator network is omitted, and the early warning efficiency is improved. The end-to-end time from decision-making to reaching is greatly shortened, and the most precious second-level or even sub-second-level time is won for the area near the epicenter. Even if the communication with the central server is interrupted, the authorized monitoring point can still serve as an independent early warning beacon to play a role, and the early warning autonomy of a specific area is realized.

The invention relates to a method for realizing social platform information propagation prediction based on platform recommendation utility description. The method comprises the following steps: generating social content representation and social user representation; constructing a social platform recommendation vector; predicting a propagation process according to a network structure channel; fusing platform recommendation channels; and decoding to obtain infected users at subsequent moments. The invention also relates to a device for realizing social platform information propagation prediction based on platform recommendation utility description, a processor and a computer readable storage medium thereof. According to the method and device for realizing social platform information propagation prediction based on platform recommendation utility description, the processor and the computer readable storage medium thereof, the platform recommendation vector is iteratively updated by adopting a momentum updating mode, the stability of feature semantic distribution can be maintained, and the social platform information propagation prediction can be realized by adopting the idea of a gating network. A platform recommendation mechanism is regarded as a channel parallel to friend propagation, and the influence of the platform recommendation mechanism is introduced during propagation prediction.

1. The name of the design product: community information propaganda device (LED screen). 2. The use of the design product: for community information propaganda. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

This invention discloses a cross-market information propagation optimization method based on hexagram position entanglement, specifically relating to the fields of information processing and data analysis. By performing time alignment and semantic embedding on multi-source information streams, a unified basic information feature vector is constructed, and further, a hexagram position state vector including positional parameters, sentiment parameters, and propagation potential parameters is established. Based on this, by calculating the coherence and coupling strength between different information sources, a hexagram position entanglement relationship matrix is ​​constructed, and entanglement feature parameters are extracted. Propagation evolution is predicted by combining historical propagation paths, obtaining propagation distortion and micro-scale delay offset features, and thereby achieving adaptive adjustment of propagation weights and time windows. This method can improve the temporal consistency and prediction accuracy of cross-market information propagation and is suitable for propagation optimization analysis in complex multi-source information environments.

The application discloses a kind of information propagation heat prediction method based on community inside and outside dynamic evolution, method includes obtaining cascade diagram, constructs community graph structure, constructs community graph structure and information propagation heat prediction.The application belongs to social network data processing field, specifically refers to a kind of information propagation heat prediction method based on community inside and outside dynamic evolution, the scheme is based on the newly added participating node constructs instruction information and forms mask adjacent relationship, carries out community graph structure information propagation update on mask adjacent relationship and is aggregated to obtain community representation;Community graph structure is built, and the edge feature is extracted to the community interrelation and is encoded, and the community representation is updated on community graph structure to obtain intercommunity representation;Multi-head attention aggregation is generated to segmented cascade representation for intercommunity representation, combined with segmented growth statistics to form time series input and carry out sequence coding, output information propagation heat prediction result in future time window.

The application belongs to the technical field of information dissemination, and discloses a kind of time perception hypergraph learning-based multi-modal social media popularity prediction method, first, the method with time as core is used to retrieve the first K instance related to target UGC;Subsequently, by using UGC attribute, all related instances are connected together to form the hypergraph of target UGC;Second, a time-aware guided hypergraph Transformer is developed, which aims to capture the correlation between internal and cross-modal, and use time encoder to embed time information into information fusion process;Finally, a model containing two layers of feedforward neural network is used to predict the popularity of target UGC.The application explores the modeling of the time relationship of target user generated content (UGC), and enhances the representation of the target through multi-modal hypergraph aggregation, aiming to lead adaptive hypergraph construction by aggregating time-aware information to assist multi-modal popularity prediction.

The invention discloses a software development design information publishing system, which relates to the technical field of information spreading platforms, and comprises a host, protection mechanisms are rotatably mounted at two ends of the host, a projection mechanism is fixedly mounted at the top of the host, and a rotating mechanism is fixedly connected to the bottom of the host. And a height adjusting mechanism is arranged at the bottom of the rotating mechanism. The display is arranged on the surface of the front side of the host, software development and design information is displayed through the display and the projector display device so as to meet specific requirements of a team, team cooperation efficiency can be improved, information sharing and communication can be promoted, smooth proceeding of software development and design projects can be ensured, and the software development and design efficiency can be improved. The projector and the display are provided with protection mechanisms, dust contamination and external damage are prevented, and the use height of the host can be adjusted by rotating the screw rod inserted in the gasket through the knob, so that the proper projection height and the display height of the display are adjusted.