1633results about "Marketing" patented technology

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 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.

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.

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.

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 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.

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.

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.

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.

Disclosed herein are methods and systems for dynamic revision and customization of media elements. In an embodiment, responsive to a request to load a page having a media element indicative of a product that has not been viewed on a second page by a user, a processor retrieves data corresponding to at least a commerce attribute of the user; generates a payload comprising a customized attribute of the product based on a user purchase preference extracted from the retrieved data; and transmit the payload to a webserver hosting the page having the media element, wherein the payload instructs the webserver to revise a default attribute of the media element to present the product with the customized attribute when loading the page.

Optimizing the presentation of data is described. A payment service computing platform may apply a trained artificial intelligence (AI) model to user data associated with users of a payment service, wherein the trained AI model associates a value with each of the users, and wherein the value represents a predicted engagement metric indicating a change in a level of engagement if an individual user of the users is offered an incentive having a particular attribute. The payment service computing platform may generate the incentive having the particular attribute, identify a subset of the users based at least in part on the value, and cause the incentive to be presented via a user interface of a payment application associated with the payment service and executing on a device of a user in the subset.

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 invention relates to a marketing verbal skill generation method and device, and the method comprises the steps: obtaining a marketing verbal skill record with a historical marketing success rate higher than a first threshold value, and converting the marketing verbal skill record into initial text data; performing error vocabulary recognition and correction on the initial text data; sentence fluency detection is conducted on the corrected text data, and high-quality text corpora are screened out; training a marketing verbal skill content selling point keyword recognition model by adopting a feedback human reinforcement learning RLHF framework based on the high-quality text corpus; inputting a to-be-analyzed marketing verbal skill text into the trained selling point keyword recognition model, and outputting package selling point key short words and sentences; and combining the package selling point key short words and sentences and the package basic information into cue words, and generating a target marketing verbal skill based on the cue words and the large language model. Therefore, the defects of dependence on manpower, limited coverage scene and insufficient professional property of a general model in related technologies can be effectively overcome, and the efficiency and success rate of package marketing are remarkably improved.

The present invention relates to an artificial intelligence-based user-customized modular building design and BIM linkage apparatus comprising: a memory including at least one instruction; and at least one processor electrically connected to the memory and configured to perform the at least one instruction, wherein the at least one processor may: receive a user input related to generation of housing space data, wherein the user input includes natural language; apply space requirement analysis criteria to the user input to calculate a housing requirement index; determine, by means of a specification mapping model, hard specifications and soft specifications on the basis of the housing requirement index; if the housing requirement index cannot be calculated or if there exists an element, among the hard specifications, which cannot be calculated by the housing requirement index alone, analyze insufficient information to determine necessary additional requirement information; request, from a user, information necessary to obtain the additional requirement information; reflect an additional input from the user to sequentially update the housing requirement index, the hard specifications, and the soft specifications; and calculate, by means of a space generation model, housing space data on the basis of the updated hard specifications and soft specifications.

A wireless network, systems and methods, wherein each passenger-carrying rideable vehicle deployed in the system includes: a modular construction consisting of a lightweight body driven by an electric-battery driven motor, and specially adapted for receiving a customizable ornamental body having the appearance and personality of a particular or an inanimate object; motorized and / or animated elements disposed beneath the animal character skin covering for enabling animal behaviors and / or expressions that promote a fun and entertaining ride experience; an audio-transducers mounted within the animal character body for playing music from smartphone applications and animated animal character body portions to provide a sense of realism and excitement as the electric entertainment vehicle is ridden through an amusement facility.

A method, apparatus and computer program product are provided to estimate at least one target quantitative measure and a second quantitative measure based upon historical electronic messages. The historical electronic messages may be partitioned based on geographic areas. The target quantitative measure may be estimated based upon respective binary categorical indicators, and respective quantitative measures of the historical electronic messages. The target quantitative measure may be adjusted dependent upon a quantitative criterion of an entity. The target quantitative measure may be used to price prescription drugs and / or the like, and may impact prescription adherence and / or revenue of a payer and / or a drug manufacturer.

In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and / or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented. A machine learning model may be trained using a training dataset comprising features selected from the impression data and tokenized claims data records, to predict bid values or other parameters for use in updating, optimizing or modifying operation of the DSP for the original campaign or for other campaigns.

The invention relates to the technical field of residual value evaluation, in particular to a new energy second-hand vehicle residual value evaluation system and method based on multi-dimensional analysis. The method comprises the following steps: collecting multi-source heterogeneous data of a new energy second-hand vehicle, and carrying out preprocessing and fusion to generate a standardized comprehensive data set; a battery health degree multi-dimensional evaluation model is constructed based on the standardized comprehensive data set, and a battery health index is obtained through calculation; calculating and generating a three-electricity system collaborative attenuation index by combining the battery health index and the three-electricity system related data; constructing a vehicle condition-battery dual-channel attenuation model by using the battery health index, the three-power system collaborative attenuation index and the vehicle condition data in the standardized comprehensive data set to obtain a basic residual value of the whole vehicle; by introducing market supply and demand data and decision parameters and constructing a dynamic residual value evaluation model, a residual value evaluation result corresponding to the new energy second-hand vehicle is calculated and generated. According to the invention, the residual value evaluation efficiency of the new energy second-hand vehicle can be improved.

When the customer relationship management screen provided by the customer relationship management system is a type of screen that presents input fields for each tab, the system will be able to appropriately reflect information about the topics of the extracted items obtained from the audio transcription data into the corresponding input fields. [Solution] The information processing device is an information item presented on a customer information management screen provided by a system separate from the customer relationship management system. For each extraction item, which indicates a topic item to be extracted from the recorded text data, which is a text version of recorded conversation data with a customer, the device performs a process to detect input items with matching item content and generates correspondence information that allows the user to identify which tab the input item belongs to, based on the correspondence between the extracted item and the input item whose item content matches. The device also includes a presentation control unit that controls the presentation to the user so that the topic information of the extracted item obtained based on the recorded text data is presented to the user as information of an input item whose item content matches that extracted item, as identified based on the correspondence information.

Embodiments of the present disclosure provide a sending method and device of interactive information, an electronic device and a storage medium. The method comprises: displaying an object flow display interface corresponding to target media content, the object flow display interface being used to display at least one associated object of at least part of interactive information of the target media content, object information of the associated object being contained in the corresponding interactive information, and the object flow display interface supporting switching display of the at least one associated object based on a trigger operation; in response to an information generation operation acting on the object flow display interface, displaying an information generation interface, the information generation interface being used to generate first interactive information of the target media content; and in response to an information sending operation, sending the first interactive information as interactive information of the target media content. The above technical solution can enrich the interactive mode of the object flow display interface.

The invention relates to the technical field of user layering methods, in particular to a user layering method and device and a storage medium, and the method specifically comprises the following steps: 1, collecting basic information data of users, including names, ages, genders, contact information and registration time, collecting behavior data of the users, and collecting social relation data of the users, cleaning the basic data and the behavior data according to the social relation data; 2, modeling a user behavior sequence; step 3, analyzing the user social network; 4, establishing a user value evaluation model; 5, layering the users based on deep learning; step 6, carrying out dynamic optimization on a layering result; step 7, applying and feeding back a layering result; according to the method, the problem of single traditional data is solved through multi-source data acquisition and processing, and accurate features are comprehensively extracted; behavior sequence modeling and social network analysis break through the limitation that only individual behaviors are concerned, and users with similar behaviors and social contact are deeply mined.

The invention relates to a vehicle residual value prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: processing vehicle non-image data of a vehicle, obtaining to-be-processed data features, inputting the to-be-processed data features into at least two basic models, obtaining at least two initial prediction results, and inputting the initial prediction results into an integrated model to obtain a basic residual value prediction result; inputting vehicle image data of a vehicle into the visual language large model to obtain an image correction factor feature vector; and splicing the basic residual value prediction result and the image correction factor feature vector as an input feature vector, inputting the input feature vector into a regression model, and processing to obtain a target residual value prediction result of the vehicle. According to the technical scheme, the prediction results of the multiple basic models are fused through the integrated model to obtain the basic residual value prediction result, the basic residual value prediction result and the image correction factor feature vector are spliced and then input into the regression model for final prediction, the target residual value prediction result is obtained, and the vehicle residual value prediction accuracy is improved.

Methods for product recommendation are provided. This includes collecting personal user data including profession, gender, size, preferences, user's apparel size, user's address, who the user's friend are, user's friends' information, users' medical records including eyeglass and contact lens prescription information; collecting vendor data including product size, product description, product location, price; and recommending vendor products that best match the users' personal data.

The application discloses a multi-index fused Chinese patent value evaluation method and belongs to the technical field of patent value evaluation. The method comprises the following steps: step 1, extracting patent text dimension features; including: extracting short text features from the abstract based on a large language model (GLM), and extracting long text features from the claim based on an HBert model; step 2, extracting patent basic information index features; including technical dimension indexes, economic dimension indexes, legal dimension indexes and enterprise dimension indexes; and step 3, performing patent value grade evaluation by using an XGBoost model based on the patent text dimension features and the patent basic information index features.

A device may capture real-time images of a product. Capturing may include using an outward-facing sensor on a device. A device may identify the product by using an identification machine learning model. A device may obtain user interaction data corresponding to previous images displayed on the device. A device may identify available offers. A device may identify a set of offers from the available offers using an offer selection machine learning model trained to automatically select offers presentable to users through devices. The offer selection machine learning model may be trained using a dataset of historical interaction data and corresponding offers. A device may present the set of offers through the device. A device may monitor in real-time user interaction with the set of offers. A device may update the offer selection machine learning model according to the real-time user interaction with the set of offers.