2270results about "Marketing" patented technology

The disclosed embodiments include computer-implemented systems and processes that generate and provision, in real time, directed digital content based on decomposed structured messaging data. For example, an apparatus may receive a plurality of messages that characterize first data exchanges initiated between a first counterparty and second counterparties during a first temporal interval. Each of the messages includes elements of message data associated with a real-time payment requested from the first counterparty by a corresponding one of the second counterparties. Based on the elements of message data, that apparatus may predict an occurrence of a second exchange of data that involves the first counterparty during a second temporal interval, and may transmit notification data that includes product data characterizing an available product associated with the predicted occurrence of the second data exchange to a device operable by the first counterparty for presentation within a digital interface.

The invention provides an intelligent marketing copywriting generation and effect evaluation method driven by a large language model, relates to the technical field of language models, and comprises the steps of constructing a hierarchical cross-modal knowledge graph and establishing a knowledge retrieval index. Semantic analysis is performed based on a bidirectional attention mechanism, related knowledge is retrieved by using query vectors, and an initial marketing copywriting is generated. Performing knowledge consistency verification to generate a knowledge-enhanced marketing copywriting, and generating a candidate copywriting set by adopting a diversity sampling strategy; and performing knowledge coverage, creativity and expected effect scoring on the candidate copywriting by using a multi-target evaluation network, screening an optimal copywriting through a Pareto optimization algorithm, and taking a generated path of the optimal copywriting as a positive sample to update a knowledge graph and decoder network parameters. Through knowledge graph enhancement and multi-target evaluation optimization, high-quality and high-matching-degree marketing copywriting can be generated, and the marketing effect is improved.

The invention discloses an AI intelligent image-text situation content accurate layout full-marketing generation method, and particularly relates to the technical field of image-text recognition. The method comprises the following steps: performing semantic analysis on a text input by a user, extracting a deliberate graph item, reverse semantics, an auxiliary emotion item and a tonality keyword, and constructing a multi-semantic field group; the field groups are injected into a collaborative generation engine composed of an image generation sub-model and a semantic prediction sub-model, and the semantic prediction sub-model predicts graph attribute tags and guides the image generation sub-model to conduct regional attention intervention; after the image is generated, the matching degree of the image content and the field group structure is evaluated through a structure-level semantic consistency judgment mechanism, and regeneration is triggered if the image content and the field group structure are inconsistent; finally, the image content with the aligned structure is output and subjected to image-text combination typesetting with the original text, and image-text situation content meeting the multi-platform marketing application requirement is generated. According to the method, the semantic accuracy, the structural consistency and the visual expression quality are remarkably improved while the generation efficiency is ensured.

A computer-implemented method of targeting users based on content consumption comprises:for each of a plurality of users, monitoring user activity including identifying content selected for viewing by the users;obtaining metadata concerning the selected items of content, the metadata representing at least some properties of the selected items of content;generating or updating a user record for each user, the user record comprising or representing the user activity and / or the associated content metadata; andidentifying users that have below a threshold level of user activity.

A computer-implemented method of using affinity profiles to determine at least one audience category that is expected to consume a selected item of content, the method comprises:obtaining affinity profiles for a plurality of users of a content distribution system, wherein each affinity profile comprises at least one selected affinity category or affinity category score, and the affinity categories are selected from a stored set of affinity categories, each representing a user's affinity for a respective subject area;determine an audience that is expected to consume the selected item of content based on the affinity profiles of the users.

A method is disclosed that comprises determining at least one subsequent user action taken by a user in response to consuming a media content; and obtaining, for the media content, an amount of greenhouse gas (GHG) emission based on an audience size, a proportion of a subsequent user action and an average amount of GHG emission for the subsequent user action.

The disclosure is directed to various ways of improving the functioning of computer systems, information networks, data stores, search engine systems and methods, and other advantages. Among other things, provided herein are methods, systems, components, processes, modules, blocks, circuits, sub-systems, articles, and other elements (collectively referred to in some cases as the “platform” or the “system”) that collectively enable, in one or more datastores (e.g., where each datastore may include one or more databases) and systems, the creation, development, maintenance, and use of a set of custom objects (and core objects) for use in a wide range of activities, including sales activities, marketing activities, service activities, content development activities, and others, as well as improved methods and systems for sales, marketing and services that make use of such entity resolution systems and methods as well as custom objects.

The invention relates to the field of customer relationship management (CRM), in particular to a business recommendation method and system based on a CRM customer portrait, and the method comprises the steps: inputting the key information and behavior data of a customer into a pre-established CRM customer portrait for matching when a server side receives an access request from a client, and obtaining the grouping information of the customer; and performing upper-layer application management on the customer grouping information, formulating a targeted strategy according to characteristics of different customer grouping information, pushing corresponding target customers to related sales personnel, determining demands and value degrees of the target customers, and formulating a personalized business recommendation scheme. Therefore, the problem that content cannot be screened and recommended according to user requirements in the prior art is solved, accurate grouping of users is achieved by deeply mining user portraits in a CRM system, deep association with the system is established on the basis, the response rate and satisfaction of clients are improved through an accurate pushing and follow-up mechanism of a foreground, and the user experience is improved. And the continuous growth of businesses is promoted.

The invention discloses a cross-platform content distribution intelligent adaptation method and system. The method comprises the following steps: acquiring multi-modal original input content; performing feature extraction on the multi-modal original input content to obtain a content feature group; obtaining platform feature parameters of the target distribution platform; obtaining a feature matching degree between the content feature group and the platform feature parameter; generating a content transformation scheme according to the platform feature parameters and the feature matching degree; and according to the content transformation scheme, carrying out transformation adjustment on the multi-modal original input content to obtain transformation content. According to the technical scheme provided by the invention, the original content is subjected to intelligent transformation adaptive to each platform; various content forms are supported, and the application scene is wide; quality evaluation and optimization are carried out on the transformation content, and the quality and the effect are improved; a publishing strategy is formulated, and content value maximization is achieved; fast access of a new platform is supported, a feature library is continuously optimized and updated, and a content modification scheme is dynamically adjusted; and the multi-platform operation efficiency is obviously improved.

The invention discloses an AI Agent-based low-code outbound verbal skill process configuration method and system, and the method comprises the steps: carrying out the word segmentation and semantic analysis of an original verbal skill text through a verbal skill configuration Agent, recognizing the type of a core business intention, extracting key entity information, carrying out the feature extraction and weight calculation of customer portrait data, and generating a customer feature model, fusing the key entity information with the customer feature model to generate an optimized verbal skill suggestion; performing keyword scanning, semantic rule matching and context association analysis on the optimized verbal skill suggestion through a compliance detection Agent to obtain a latest compliance standard update and generate a compliance detection result; carrying out automatic replacement and risk prompt supplement on violation contents through a dynamic correction function, and generating a compliant version verbal skill; and performing format standardization processing on the verbal skill of the compliant version through the outbound system interface, and then pushing the verbal skill to an outbound execution platform. According to the invention, the problems of low verbal skill configuration efficiency and insufficient compliance detection capability in the prior art are solved.

The invention relates to the technical field of engineering technology research and development, in particular to a risk assessment method for personalized marketing content for generative AI output. According to the method, firstly, feature extraction is carried out on marketing content data to obtain structured representation, and then preliminary screening is carried out through a preset rule to obtain a rule matching condition; inputting the feature data and the rule matching result into a trained neural network model for deep evaluation, and outputting a risk score and a risk type label; and calculating a model parameter update value based on a manual auditing result and a business key index. According to the method, the interpretability and the risk identification capability of evaluation are ensured through the combination of the rule and the model, and the dynamic adjustment of the evaluation standard is realized by introducing the business index and the online learning mechanism, so that the risk evaluation better meets the business requirements.

One variation of a preferred system for rendering content on a vehicle includes a display, a memory, a communication module, and a processor. The display is configured to mount adjacent an exterior surface of a vehicle. The memory is configured to store a plurality of executable applications including a vehicle identification application and an application elected by a user. The communication module is configured to download the user-elected application to the memory. The processor is configured to selectively execute applications to control visual content rendered on the display, wherein the display renders vehicle identification information when the vehicle identification application executes, and wherein the display renders additional visual content when the user-elected application executes.

A system and associated method and service for providing a platform that enables members to transfer, receive, or otherwise exchange cash in various international denominations and commodities, such as precious metals (e.g., gold, silver, etc.), in a mobile highly secured telecommunications environment. The system is capable of delivering cash instantly between two or more users by allowing the exchange of secure transactions between system and cash dispensing machines (ATMs). Users may pay, receive, exchange, deposit, transfer, pay bills, exchange currency, retrieve cash, deposit cash and create accounts based on the mobile phone number or a system generated code.

Digitally distributing media content using a distribution backbone system, including: receiving a request for media content from a client, the request including a client profile; performing inventory and analysis of source assets by iteratively progressing through the client profile to create output; performing a capability mapping in which a series of rules that allow the source assets to be mapped to the client profile; and planning a manufacturing process, which determines work items and execution steps from capabilities mapped in response to the request for media content from the client.

The invention discloses a consumer automatic locking method based on automobile 4S store intelligent sales. The consumer automatic locking method comprises the steps that a 4S store controller is combined with a face camera and a face recognition and proofreading module to carry out face collection and locking on a consumer; an entrance guard worker terminal builds and supplements consumer files entering the 4S store; consumption data are supplemented and shared on a consumer terminal by a consumer; the stay area of the consumer in the 4S store is monitored by adopting an area identification module and an area monitoring camera; and the server is used for formulating consumer purchase track information. The method has the advantages that through the steps, the identity of the consumer is automatically recognized and locked, the purchase intention of the consumer is quickly known, and intelligent recommendation and automobile sales are achieved.

The embodiment of the invention relates to the field of data processing, and provides a pledged cargo management method based on AI vision and a related device, and the method comprises the steps: carrying out the multi-dimensional vision monitoring of a current pledged cargo based on an AI vision technology, and obtaining the multi-dimensional vision monitoring data; according to the market value multi-source data and the multi-dimensional visual monitoring data, constructing a target market-goods dual-channel valuation model; performing market value estimation on the current pledged goods based on a target market-goods dual-channel value estimation model to obtain current market value data; when the current market value data meets a preset condition, generating pledged cargo risk early warning information; and carrying out risk early warning according to the pledged cargo risk early warning information. By adopting the method provided by the invention, more accurate and more effective risk management of the current pledged goods can be realized based on the AI vision technology.

An augmented reality display system comprises a passable world model data comprises a set of map points corresponding to one or more objects of the real world. The augmented reality system also comprises a processor to communicate with one or more individual augmented reality display systems to pass a portion of the passable world model data to the one or more individual augmented reality display systems, wherein the piece of the passable world model data is passed based at least in part on respective locations corresponding to the one or more individual augmented reality display systems.

The invention discloses an intelligent engineering quantity list matching method, which comprises the following steps of: firstly, performing deep analysis on project description to form a key feature dictionary and form a basis for subsequent accurate matching; then, adopting a two-stage process of coarse screening and fine arrangement: in the coarse screening stage, combining project codes pointing to professional classification with key features capable of quickly locking core elements, performing efficient filtering on a huge standard quota library, and quickly generating a candidate matching list which is controllable in scale and highly related; and in a fine ranking stage, turning to more detailed semantic and feature dual verification, comprehensively utilizing the deep semantic similarity of a complete item description text and an accurate comparison result of a key feature dictionary, and performing fusion calculation to obtain a final score so as to realize accurate ranking of candidate lists. In this way, the semantic gap caused by synonyms, inverted word order, non-standard expression and the like in traditional text matching can be effectively overcome, and the matching accuracy is greatly improved.

A hybrid quantum-classical computing system designed to enhance AI applications by integrating classical computational methods with quantum computing power. The system incorporates a classical computing unit and multiple quantum computing units, each specialized for distinct algorithmic tasks. A control module within the classical unit, using predetermined decision logic, manages the distribution of tasks, selectively engaging quantum units for their unique capabilities to optimize efficiency. This scalable architecture allows for significant advances in AI, tackling complex, resource-intensive tasks by effectively harnessing the strengths of both quantum superposition and classical processing.

The invention discloses a cross-platform advertisement joint modeling method driven by privacy calculation, and relates to the technical field of internet advertisements, and the method comprises the steps: carrying out the preliminary desensitization processing of original advertisement data through a pre-established privacy protection mechanism, employing a hierarchical encryption means for sensitive fields contained in the original advertisement data, and carrying out the desensitization processing of the original advertisement data; obtaining a desensitization data set processed in the first stage to obtain a data set of which sensitive information is preliminarily shielded, carrying out feature extraction on the data by adopting a generative adversarial network model according to the desensitization data set processed in the first stage, carrying out deep learning according to statistical characteristics of the data, obtaining an implicit distribution rule, and carrying out feature extraction on the data; determining a generated preliminary feature mapping result; according to the cross-platform advertisement joint modeling method driven by privacy calculation, privacy protection and multi-mode synthesis of advertisement data are realized, and the method can be widely applied to advertisement analysis and multi-scene application needing protection of user privacy.

The invention is suitable for the technical field of data processing, and provides a multimedia data sending method, a terminal and a server, and the method comprises the steps: responding to a layout setting operation initiated by a user, and generating first layout information corresponding to first multimedia data specified by the user according to a setting parameter corresponding to the layout setting operation; the first layout information is used for determining a first area in the first multimedia data; and generating at least one piece of second multimedia data containing the first area based on the first layout information. According to the technical scheme provided by the invention, the first area needing to be reserved by the user can be accurately determined, so that the derivative area data reserving the area data of the first area in the original multimedia data is generated, the accuracy of generation of the derivative area data is further improved, and the efficiency of batch generation of the derivative area data can also be improved.

The invention discloses a block chain-based telecom operator data security sharing method, and particularly relates to the technical field of telecom data management and block chains, and the method comprises the following steps: data collection and preprocessing: through data collection modules distributed in each service system and network node of a telecom operator, the data collection modules are used for data collection; the method comprises the steps of data value evaluation, data value evaluation model construction, block chain storage and encryption, and distributed storage system construction by adopting a block chain technology, data encryption is carried out by adopting a mode of combining symmetric encryption and asymmetric encryption, and the data security level is greatly improved based on block chain distributed storage and non-tampering characteristics. Data are encrypted in the whole storage and transmission process, and even if part of node data are leaked, real data cannot be obtained due to no corresponding private key. The non-tampering characteristic of the block chain enables data operation records to be traceable, any unauthorized data access and modification can be found in time, and the data and user privacy security of telecom operators is powerfully guaranteed.

Agentic AI, Contextual AI, and Generative AI systems and methods are provided for quantitative or qualitative patient analytics, blood work analytics, medical image analytics (x-ray, ultrasound, CT Scan, MRI and the like), brain scan analytics, present or historical genetic analytics and the like, to be used to guide, assist or even replace some of these physician functions with improved patient outcomes or with an improved understanding of the source of ailments, the analysis of treatment efficacy or treatment side-effects for individuals or populations of individuals. Genetic information is used to create individualized or population-based analysis, diagnostics, or treatment plans with even better outcomes.

The invention relates to the technical field of artificial intelligence-driven digital marketing, in particular to an AI-based new media intelligent marketing method, which comprises the following steps of: 1, carrying out cross-platform user behavior fusion modeling; 2, constructing a multi-modal content gene pool: analyzing a visual focus area and a text emotional tendency of historical content, and generating a content gene vector; 3, dynamic content generation and real-time optimization, wherein initial marketing content is generated according to the space-time behavior matrix retrieval gene bank; user interaction behaviors are monitored in real time, elements in a visual focus area are dynamically replaced, and the emotion intensity of the copywriting is adjusted; and step 4, closed-loop strategy optimization: a dynamic effect index is calculated by fusing multi-platform indexes, a gene variation mechanism is triggered when the index continuously decreases, and cross-platform compensation content is generated based on failed user behaviors. By analyzing the cross-platform behavior and the content preference of the user, the user demand can be accurately predicted, and the content more conforming to the personalized preference of the user is provided.

An example system includes a processor to receive production log data and pre-process the production log data to generate an exploration data set. The production log data includes continuous updates of a ranking function associated with different actions for a same query issued by a same user in different impressions. The processor can perform offline estimation of online metrics for ranking functions using the exploration data set, evaluate a proposed ranking function by comparing the estimated online metrics to a set of baseline metrics of a baseline ranking function, detect that the proposed ranking function is a preferred ranking function having a higher detected metric score than the baseline ranking function based on a comparison of the estimated online metrics with the baseline metrics of the baseline ranking function, and execute an action on an information retrieval system based on the preferred ranking function.

To provide a management device, a management method, and a program that can improve a collection rate when requesting a questionnaire after using a product or service.SOLUTION: A management device 100 includes: a detection unit 107 that detects that a user starts using a questionnaire target; an estimation unit 108 that estimates an examination period required for the user detected by the detection unit 107 to examine the target; and a post-use questionnaire notification unit 109 that notifies a user of a request for a post-use questionnaire regarding the target use at a time when the examination period estimated by the estimation unit 108 elapses from the time when the detection unit 107 detects the start of the use.SELECTED DRAWING: Figure 2

Techniques are described, as implemented by computing devices, to control access to transactions through use of cosigning based on tokenized reputation scores. This is performed by leveraging a blockchain such that tokenized reputation scores are generated based on amounts of cryptographic reputation tokens associated with blockchain account addresses associated with applicant and co-signer service provider accounts. Transactional functionality is made available to an applicant service provider account having an insufficient tokenized reputation score by using a co-signer service provider account having a sufficient tokenized reputation score to at least partially back an obligation of the applicant service provider for a transaction.

The invention discloses a data-driven adaptive marketing picture generation system and method, and aims to solve the technical problem that a static template cannot intelligently adapt to dynamic content in the prior art, and the system comprises a data collection module which is used for obtaining business data and channel screenshots; the data integration module is used for calling a visual identification model, intelligently extracting target visual elements from the channel screenshot by taking the business data as a context, and formatting text data; the intelligent generation module is used for loading the dynamic template, filling the content, automatically calculating and adjusting the layout position of each element according to the actual rendering size of each element after filling, and dynamically generating a background image layer which is completely matched with the total size of the final content; and the image synthesis module synthesizes the content and the background image layer into a final marketing picture. According to the method, through content-driven adaptive typesetting and AI intelligent extraction, the bottlenecks of format stiffness and content matching difficulty are solved, and the efficiency, accuracy and visual quality of marketing picture automatic generation are remarkably improved.

A system for reward generation on a social media platform is disclosed. The system includes a processing subsystem having a. registration module linking multiple social media accounts for a user. An engagement calculation module identifies key metrics like likes, comments, and shares, calculating individual metrics for each engagement type. The engagement calculation module computes a total engagement value for specific posts or overall accounts. The training module uses historical data, to train machine learning models, fine-tuning hyperparameters for iterative improvement. The reward generation module establishes a conversion rate between total engagement and reward points, dynamically assigning loyalty through trained models. A reward redemption module facilitates the accumulation of points in a virtual wallet, converting them into various assets like money or cryptocurrency using blockchain integration. This comprehensive approach ensures a fair and personalized reward system based on user engagement levels.