4638results about "Marketing" patented technology

The disclosed embodiments include computer-implemented processes that flexibly and dynamically analyze a machine learning process, and that generate analytical output characterizing an operation of the machine learning process across multiple analytical periods. For example, an apparatus may receive an identifier of a dataset associated with the machine learning process and feature data that specifies an input feature of the machine learning process. The apparatus may access at least a portion of the dataset based on the received identifier, and obtain, from the accessed portion of the dataset, a feature vector associated with the machine learning process. The apparatus may generate a plurality of modified feature vectors based on the obtained feature vector, and based on an application of the machine learning process to the obtained and modified feature vectors, generate and transmit, to a device, first explainability data associated with the specified input feature for presentation within a digital interface.

The disclosed embodiments include computer-implemented processes that flexibly and dynamically analyze a machine learning process, and that generate analytical output characterizing an operation of the machine learning process across multiple analytical periods. For example, an apparatus may receive an identifier of a dataset associated with the machine learning process and feature data that specifies an input feature of the machine learning process. The apparatus may access at least a portion of the dataset based on the received identifier, and obtain, from the accessed portion of the dataset, a feature vector associated with the machine learning process. The apparatus may generate a plurality of modified feature vectors based on the obtained feature vector, and based on an application of the machine learning process to the obtained and modified feature vectors, generate and transmit, to a device, first explainability data associated with the specified input feature for presentation within a digital interface.

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.

An apparatus for carbon emission optimization using machine-learning, apparatus including a processor and a memory containing instructions configuring the processor to receive an integrated logistics data collection, determine a projected carbon emission as a function of the integrated logistics data collection, generate a transportation plan as a function of the integrated logistics data collection and the projected carbon emission, continuously receive a current logistics datum from an external source, and iteratively modify the transportation plan based on the current logistics datum.

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.

Techniques are described for deploying software applications associated with document management. The techniques may include retrieving, by a computing system and from a software repository, configuration information for a software application for managing an electronic document, the configuration information specifying a plurality of widgets for deploying the software application. The techniques may further include receiving, by the computing system and from a client device, a request to access the software application. The techniques may further include generating, by the computing system, a response to the request comprising an indication of the configuration information and instructions configured to cause the client device to request, from the software repository, the plurality of widgets specified by the configuration information. The techniques may further include outputting, by the computing system, the response to the client device to provide the software application at the client device.

One aspect of the subject matter described herein comprises a database management system. The database management system comprises a communication circuit, an interface, and a processor. The communication circuit receives information from databases via a communication network. The interface allows user operation and interaction via the communication network and the database management system. The processor provides data to and receives data from the interface, including a plurality of alphanumeric records comprising at least one unique identifier, obtains database records from other databases for each unique identifier, identifies a number of alphanumeric records in the plurality having events in their histories, determines a percentage of alphanumeric records in the plurality having negative events in their histories, generates a report including the determined percentages, and conveys the report to the user.

To improve the accuracy of a survey result by eliminating poor-quality responses from survey respondents in a questionnaire survey.SOLUTION: A system for a questionnaire survey includes means for analyzing the contents of responses from respondents, means for evaluating the appropriateness of the contents of the responses, and means for eliminating poor-quality responses.SELECTED DRAWING: Figure 1

The invention discloses an AI-based marketing commodity short video generation method and device, a medium and a product, and relates to the field of short video generation. The method comprises the following steps: constructing a short video industry knowledge base; obtaining question information input by a user; searching answers from a short video industry knowledge base according to the question information; obtaining a video selected from the answers by the user as a reference short video, and obtaining commodity information uploaded by the user; the commodity information comprises commodity selling points and commodity materials; retrieving a reference copywriting from the short video industry knowledge base according to the commodity selling point, taking the reference copywriting as knowledge supplementary information, generating a script copywriting according to the reference short video and the knowledge supplementary information, and generating picture information according to the script copywriting and the commodity material; and editing the picture information to obtain a short video of the commodity information. The output efficiency of the running amount materials can be improved.

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 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 determining affinity profiles, comprises:for each of a plurality of user devices, monitoring user activity including identifying television content selected for viewing by the user of the user device;obtaining metadata concerning the selected items of television content, the metadata representing at least some properties of the selected items of television content;generating or updating a user record for the user, the user record comprising or representing the user activity and / or the associated content metadata;processing the user record to generate an affinity profile for the user based on the user record, the affinity profile comprising at least one selected affinity category or affinity category score, whereinthe affinity categories are selected from a stored set of affinity categories, each representing a user's affinity for a respective subject area.

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 data distribution system configured to receive market data from one or more market data sources, associated location data from one or more location data sources, and polygons from one or more polygon sources. The system may normalize the location data and the polygons such that a format of the normalized location data matches a format of the normalized polygons. Upon receiving, via an interactive graphical user interface (GUI), user input comprising a data request, the interactive GUI may determine that the data request comprises at least a portion of the normalized location data. The interactive GUI may augment the normalized location data with one or more normalized polygons, generate an augmented presentation package comprising the one or more normalized polygons, and display the augmented presentation package, such that the one or more normalized polygons are presented on an interactive map interface.

The invention discloses a digital economic risk assessment method and device based on computer statistics, and the method comprises the steps: S1, collecting enterprise economic data and market environment real-time information data, and carrying out the data cleaning; s2, dividing enterprise cycles according to the enterprise economic data in S1; s3, extracting enterprise internal stage features and market features according to the enterprise cycle in S2; s4, combining the enterprise internal stage features and the market features to construct an enterprise periodic knowledge graph; s5, defining risk indexes according to the enterprise internal stage features and the market features; s6, constructing a risk assessment model in combination with the enterprise periodic knowledge graph and the risk indexes; s7, analyzing a risk propagation path and evaluating an influence degree through a knowledge graph; s8, carrying out risk early warning according to a risk assessment result, and proposing countermeasures and suggestions in combination with a risk propagation path and an influence range; risk assessment is carried out through enterprise economic data and market environment real-time information in combination with enterprise cycle division, feature extraction and knowledge graph construction.

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.

Systems and methods for features engineering, in which internal and external signals are received and fused. The fusing is based on meta-data of each of the one or more internal signals and each of the one or more external signals. A set of features is generated based on one or more valid combinations that match a transformation input, the transformation forming part of library of transformations. Finally, a set of one or more features is selected from the plurality of features, based on a predictive strength of each feature. The set of selected features can be used to train and select a machine learning model.

A method of processing information related to a distributed item includes generating attachment information and acquiring a reference request and requester information. The attachment information is associated with history information accumulated for the distributed item and is to be distributed along with the distributed item. The reference request is made for a reference to the history information using the attachment information attached to the distributed item. The requester information contains at least location data of a requester terminal that made the reference request.

Embodiments provide a social networking platform offering various services, such as, facilitating aggregation and management of a user's interaction on one or more social networking platforms, offering enhanced control over the level of privacy associated with the flow of user data, offering tools to customize the user's exposure to advertisement-related content on the social networking platform(s), integrating features to control aspects of how data / content is presented to and visualized by the user, empowering the user to multicast direct messages to other users without the other users having to meet certain constraints, empowering the user to create and / or join a group based on messaging threads, and the like. One or more of these enhanced services / features are associated with a powerful framework of authentication / permission model for access control.

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.

Method for generating haptic feedback responses starts with processor causing communication interface for communication session to be displayed on first user interface and on a second user interface. Processor detects first touch input on first user interface and second touch input on second user interface. Processor monitors location of the first touch input on the first user interface and location of the second touch input on the second user interface. Processor determines distance between location of first touch input on first user interface and location on first user interface corresponding to location of second touch input on second user interface. Processor causes the first user interface and the second user interface to generate a haptic feedback response based on the distance. The haptic feedback response increases in intensity or speed as the distance decreases and decreases in intensity or speed as the distance increases. Other embodiments are described herein.

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 marketing copywriting generation method and system, belongs to the technical field of information processing, can improve the timeliness and pertinence of marketing copywriting, and ensures that the marketing copywriting highly meets the specific requirements of users and the characteristics of target industries. Comprising the following steps: regularly crawling a plurality of target websites at a preset time interval based on a web crawler technology to obtain marketing hotspot data of each industry; constructing a marketing database according to the marketing hotspot data; obtaining a marketing copywriting demand of a user; according to a preset screening condition, screening out data matched with the marketing copywriting demand from a marketing database by utilizing a retrieval enhancement generation technology to obtain a first information set; converting the marketing copywriting demand into a first cue word, and converting the first information set into a second cue word; generating prompt text information according to the first prompt word and the second prompt word; and inputting the prompt text information into a preset language model to generate a marketing copywriting.

Methods and systems for providing contents may be provided. A method of providing contents may include specifying contents to be serialized on a specific day of a week, among a plurality of contents each serialized with reference to a day of the week, calculating a popularity ranking for each of the specified contents, selecting, using the popularity ranking, a ranking-boosting content satisfying a ranking condition among the specified contents, and providing, on a user terminal, items corresponding to each of the specified contents, wherein the providing includes displaying ranking-boosting information related to ranking-boosting on an item corresponding to the ranking-boosting content, among the items corresponding to each of the specified contents. Accordingly, information on contents that is serialized with respect to a specific day of the week may be more effectively provided.

To a digital marketing support system for a small and medium-sized enterprise in which the small and medium-sized enterprise maximizes effects of a website and an advertisement to develop an appropriate strategy.SOLUTION: A digital marketing support system for a small and medium-sized enterprise includes: information analysis means of the small and medium-sized enterprise by AI; means for providing a strategy and advice suitable for the small and medium-sized enterprise; and corresponding means considering characteristics of the small and medium-sized enterprise and a user.SELECTED DRAWING: Figure 1

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.

An electronic apparatus comprises: a display; a memory that stores a trained first artificial intelligence model; and at least one processor that acquires viewing group information of a user by inputting context information including profile information of the user and use history information of the electronic apparatus into the first artificial intelligence model, controls the display to display advertisement content identified on a basis of the obtained viewing group information, acquires feedback information of the user related to the displayed advertisement content, and updates the first artificial intelligence model to a second artificial intelligence model retrained on the basis of the input context information and the obtained feedback information.

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, which relates to the technical field of the electric power supervision management and control system, discloses a supervision management and control system based on improvement of the electric power marketing service level, and the system integrates four modules of data acquisition, data analysis, supervision management and control and feedback improvement. Basic information, service requests and service process records of clients are collected through the data acquisition module; the data analysis module identifies problems and bottlenecks in the service process; the supervision and control module comprises a real-time monitoring and early warning system sub-module, a service quality evaluation model sub-module, a process monitoring and optimizing sub-module and the like and can supervise and control the service process in real time, and the feedback improvement module collects customer feedback and service evaluation and continuously improves and optimizes the service. The system also has a self-learning upgrading capability, continuously optimizes the service process through an internal feedback mechanism, improves the service quality, effectively solves the defects of an existing power marketing service system in the aspects of supervision and control, and provides a more efficient and convenient service solution for the power industry.