1281results about "Marketing" patented technology

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.

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.

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.

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 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.

The invention relates to an intelligent marketing-oriented large model illusion suppression method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: performing intention recognition and semantic analysis on user input information of a current dialogue through a dynamic cue word control layer to generate a dynamic cue word; generating corresponding fact retrieval requests for a plurality of agents participating in the current dialogue through a multi-agent fact coordination layer based on the dynamic cue words; responding to each fact retrieval request through an event-driven RAG layer to obtain each real-time business fact; a multi-agent fact coordination layer is used for providing consistent facts for a plurality of agents on the basis of real-time business facts; and performing context consistency monitoring on the output contents generated by the plurality of agents based on the consistent fact, and triggering the updating of the dynamic cue word based on the monitoring result through the dynamic cue word control layer. By adopting the method, model illusion can be inhibited, and the accuracy of model reasoning is improved.

An online concierge system receives location information associated with pickers and actual orders associated with a geographical zone. A model trained to predict a likelihood an actual order associated with the zone will be available for servicing within a timeframe is accessed and applied to forecasted orders. Each picker is matched to an order for servicing by minimizing a value of a function that is based on a difference between a location associated with each picker matched to an actual order and an associated retailer location, a difference between the location associated with each picker matched to a forecasted order and an associated retailer location, and the predicted likelihood. Recommendations for accepting an actual order, moving to a retailer location associated with a forecasted order, or checking back later with the system are generated based on the matches and sent for display to a client device associated with each picker.

A method for execution by one or more computing devices of an exchange item marketplace network includes generating, by an exchange item origination entity, an origination block of an exchange item transactions chain associated with an exchange item, where a portion of the origination block is encrypted. The method further includes receiving, from a computing device of the exchange item marketplace network, an acquisition request regarding the exchange item. The method further includes generating a first block of the exchange item transactions chain, where the first block includes information regarding the exchange item, the computing device, and the acquisition request, where a first portion of the first block is encrypted, and where the first block is chained to the origination block in accordance with a security approach.

The invention relates to the technical field of computers, and discloses an intellectual property big data fusion analysis and service platform which comprises a data acquisition preprocessing module, a multi-modal feature coding module, a knowledge graph construction and reasoning module, a multi-modal fusion and correlation analysis module and an intelligent service and application module. According to the technical scheme, retrieval accuracy and efficiency can be improved, traditional retrieval limitation is overcome through deep semantic understanding, association discovery and multi-dimensional intelligent analysis, intellectual property work efficiency is greatly improved, and the method is particularly suitable for complex technical patents.

A computer system, computer-implemented method and non-transitory computer-readable medium to predict transaction activity for a cyclical time period. A predictive transaction model is developed for individual user accounts, where the transaction model incorporates a cyclical data structure representation to detect and analyze transactions.

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 a smart city power marketing service simulation evaluation method and system based on digital twinning. The method comprises the steps of obtaining power marketing service data, performing space-time semantic analysis, extracting attribute dimensions, establishing a cross-domain attribute association graph, establishing a cross-domain attribute association graph, and constructing a digital twinborn model; the target marketing service process is decomposed into service units, the service units are decomposed, a local simulation domain is constructed for parallel simulation, and a combined simulation result is obtained through an inter-domain coupling operator; and comparing a simulation result with real data, identifying virtual and real deviations, performing reverse traceability decomposition on virtual and real deviation distribution, mapping the virtual and real deviation distribution back to each local simulation domain, determining a local contribution magnitude of each local simulation domain, and constructing a hierarchical evaluation index to obtain a service quality evaluation result. According to the invention, accurate evaluation of the power marketing service is realized, and the service quality supervision efficiency is improved.