158 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 provides a visual token pruning method based on graph information propagation. The visual token pruning method comprises the following steps: performing visual extraction on an input image to obtain a visual token; initializing the importance score of the visual token; constructing a graph structure related to the visual tokens, taking each visual token as a node, calculating an adjacent matrix for constructing connection between the visual tokens, and initializing the graph structure; the adjacency matrix is updated through a preset similarity threshold value, and visual token sub-graph structures of different areas are obtained; performing normalization processing on each row of the adjacent matrix, performing iterative propagation on node information, and calculating a final score of each visual token; screening out k visual tokens with the highest scores according to the final scores of the visual tokens for projection; and splicing the visual token obtained by projection with the text token, and inputting the spliced visual token and text token into a large language model to obtain an output result. According to the method, the calculation efficiency of the model can be improved, and the calculation cost is remarkably reduced while the visual task performance is kept.

The invention discloses a social intelligent agent device and a cluster control method and device thereof, and the method comprises the steps: carrying out the statistics of different groups of Internet platform users, and constructing corresponding user feature portraits; according to the internet user feature portraits, user portraits are formed for the intelligent agents deployed to the cluster, and the intelligent agents with preferences are obtained; creating an information consumption activity task for the agent based on a BS architecture; information consumption data resulting from agent activity is collected. According to the invention, through agent portrait formation and task scheduling optimization, the simulation degree and cluster control efficiency of the social agent are improved. The behaviors of the intelligent agent are more diversified and natural, and user interaction can be simulated more truly. The cluster control mechanism is rapid and flexible in response, data synchronization and task distribution are more efficient, the problems that in the prior art, intelligent agent behaviors are single, cluster control is slow, data processing is complex, and real-time feedback cannot be achieved are solved, and the information spreading efficiency and the activity degree of the social platform are improved.

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

A multilingual text cognitive rumor detection method, system, product and medium relate to the field of electrical digital data processing, the method comprises: obtaining source cognitive response data of a user to a source text in a source language area, the source text being changed into a target text through an information propagation process; obtaining target cognitive response data of a user to the target text in the target language area, comparing the source cognitive response data with the target cognitive response data to obtain cognitive difference data, and when the information understanding deviation value exceeds a preset deviation threshold value, sending the cognitive difference data to the user; positioning a difference fragment according to the semantic feature mapping relationship between the source text and the target text, and determining a tampering position and a tampering degree of the difference fragment; if the tampering degree of the target text is greater than a preset degree threshold value and the number of the tampering positions is greater than a preset number threshold value, judging that the target text is a rumor text; and sending rumor early warning information to an information issuing platform. By implementing the method, the rumor detection accuracy can be improved.

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 invention provides a privacy information dissemination control strategy generation method and device. The method comprises the following steps: acquiring information forwarding data of a user and social network structure data; performing aggregation analysis on the information forwarding data to generate information cascade data, and calling a pre-trained social network structure data model to perform feature extraction on the social network structure data to obtain user social features; selecting different seed sets from the information cascade data, and inputting the seed sets and the user social features into an information propagation model for propagation prediction to obtain propagation probability matrixes corresponding to the different seed sets; and determining a privacy propagation comprehensive income according to the propagation probability matrix, and generating a privacy information propagation control strategy based on the seed set with the maximum privacy propagation comprehensive income. Through the information sharing method and device, the problems that in the prior art, when information is shared in a social network, the privacy strategy making efficiency is low, the privacy leakage risk is difficult to overcome, and the privacy requirements of different users are met are solved.

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.

The present invention belongs to the technical field of natural language processing, and provides a fake news detection method and system based on joint information propagation between graphs, including: obtaining the text to be detected, and after preprocessing, respectively constructing a text sequence graph, a text syntax graph and a text semantic graph; based on the text sequence graph, the text syntax graph and the text semantic graph, firstly performing information interaction within the graph, and then performing information interaction between graphs, obtaining a joint information text sequence graph, a joint information text syntax graph and a joint information text semantic graph, and obtaining a vector representation of the text to be detected through a graph attention mechanism and a node attention mechanism, inputting it into a classifier, and obtaining a result of whether the text to be detected is fake news. The feature sparsity problem existing in the vectorization of short texts is solved, the text vector representation is enriched, the problem of missing information interaction between long-distance and non-continuous texts is solved, and the accuracy of text representation is improved.

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 invention provides a dual-objective optimization simulation evolution deduction method and system for network public opinion propagation, relates to the field of network public opinion propagation analysis and regulation, solves the problem that bionic modeling, analysis and simulation of network public opinion propagation are difficult, and adopts the scheme that a dual-objective optimization model for network public opinion propagation is established; constructing a negative information propagation evaluation model of network public opinion propagation; constructing a negative information propagation variation regulation and control model of network public opinion propagation; the negative information level and the propagation level of network public opinion propagation are used as calculation objects of a variation regulation operator, and propagation of network public opinion negative information is inhibited; constructing a front guidance network public opinion generation crossover operator with a higher priority, and reducing the propagation space and speed of network public opinion negative information through the propagation of the front guidance network public opinion; performing iterative optimization operation on the operation object by using a dual-objective optimization evolutionary algorithm to obtain a parameter sequence with positive guidance maximization and negative information propagation minimization; and regulating and controlling model parameters of network public opinion propagation according to the optimal or suboptimal parameter sequence. According to the scheme of the invention, a simulation evolution deduction platform of network public opinion propagation can be constructed, the negative influence of network public opinion propagation is weakened and optimized by using a dual-objective evolution optimization algorithm, and the recognition capability, regulation and control capability and learning optimization capability of network public opinion propagation are improved.

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.