1191results about "Advertisements" patented technology

The invention relates to the technical field of cross-border advertisement putting, and provides a cross-border e-commerce advertisement accurate putting method and system based on a user portrait, and the method comprises the steps: building a unified data flow through multi-source data collection and standardization processing; calculating and fusing the real-time statistical features, the historical interest vectors and the context features in real time by using a stream processing engine to generate multi-dimensional feature vectors; inputting the feature vector into a multi-modal time sequence neural network model which captures a user behavior rule through time sequence coding and an attention mechanism and outputs a user behavior weight and an interest attenuation coefficient; dynamically updating the real-time interest score of the user by adopting an exponential decay model; and when the interest score reaches a threshold value, triggering a reinforcement learning agent to make a decision according to the comprehensive state information, and dynamically outputting an action strategy including release triggering, a bidding coefficient and a creative type. The problems that in the prior art, user interest modeling lags behind, and the self-adaptive capacity of the putting strategy is poor are effectively solved.

Various embodiments of the present disclosure relate to providing AI-based generation of responsive content. In an example embodiment, generative response content is an AI-powered interactive interface embedded within presented content, allowing users to ask questions and receive relevant, real-time answers directly within the content space, without requiring a click or further interaction to access a landing page.

The invention relates to the technical field of data processing, and discloses an advertisement putting state real-time monitoring method and system. The method comprises the following steps: collecting an advertisement putting event stream, and extracting an instantaneous index and a fluctuation rate; counting historical abnormal conduction time delay and intensity, and constructing a conduction matrix; when single-point abnormity is detected, downstream abnormity is predicted according to the conduction matrix, the deviation degree is calculated, and an abnormal conduction chain is searched; conducting chain features are extracted to form abnormal fingerprints, fingerprint database similarity is matched, high similarity is directly confirmed, and low similarity is injected into probe flow verification. By constructing the real-time monitoring method based on the abnormal conduction matrix, the problems that in the prior art, the conduction relation between indexes cannot be quantified, the downstream abnormal moment cannot be predicted, the false report and missing report rate is high, and the abnormal confirmation response is slow are solved, and the accuracy, the real-time performance and the intelligent level of advertisement putting abnormal detection are improved.

The invention relates to a native advertisement generation method based on a large model, a server side, a client side and a system, and the method comprises the steps that the server side receives an advertisement request of the client side, and the advertisement request comprises real-time context information of a user; obtaining an original material provided by an advertiser and design theme information of a client application; based on a large language model, carrying out multi-modal fusion analysis on the real-time context information, the original material and the design theme information of the user; generating at least one description file of the advertisement interface layout visually fused with the design theme information, wherein the description file comprises an interface layout definition and an interaction logic definition corresponding to a target interaction strategy matched with the real-time context information of the user; and issuing a target description file determined in the at least one description file to the client, analyzing and rendering the target description file by the client, and realizing display and interaction of the native advertisement. According to the method and the device, personalized generation of the advertisement style and dynamic advertisement style are realized, and the user experience is improved.

An emerging service in the private and non-profit sectors is to electronically facilitate engagement of employees and volunteers for various causes. The instant systems and methods provide a software as a service platform that provides user engagement via machine learning and artificial intelligence.

The embodiment of the invention provides a content recommendation method and device and a double-tower content recommendation model training method and device, and the content recommendation method comprises the steps: obtaining the content information of to-be-recommended content and the user information of a target user in response to a content recommendation task; the user information and the content information are input into a double-tower content recommendation model, recommended content for the target user is obtained, the double-tower content recommendation model comprises a user tower and a content tower, the user tower is used for extracting user features based on the user information, and the content tower comprises a feature adaptation layer; the feature adaptation layer is used for obtaining target content features corresponding to a task target of the content recommendation task based on the content information, and the recommendation content is obtained by decoding based on the target content features and the user features. The content representation can be dynamically adjusted according to the task target through the feature adaptation layer, so that the same content presents differentiated feature expression under different tasks, and the adaptation precision of the recommendation result to the specific task target is improved on the premise of not changing the double-tower structure.

Various embodiments improve search technologies and computer information retrieval by executing a query via ranking a set of search result candidates higher than another set search result candidates based at least in part on the query and determining that a first set of search result candidates are indicative of a sub-accessory to an accessory or an accessory itself.

The invention discloses an advertisement creativity matching method based on multi-modal content generation, and relates to the technical field of digital media content generation, and the method comprises the following steps: building a cross-modal time anchoring belt facing advertisement creativity matching, carrying out metaphor level decomposition on input text information, marking a symbol axis for image information, and carrying out data processing on the image information; obtaining an initial semantic boundary list; and constructing a culture fingerprint database according to the initial semantic boundary list, and mapping the territory taboo information and the brand symbol information into constraint tags to obtain a semantic guardrail set. According to the method, through cross-modal time anchoring and semantic boundary control, accurate correspondence of the text and the image in time and semantic levels is achieved, and it is ensured that generated content is clear in semantic meaning and adaptive in culture. In combination with breathing type phase traction and cultural fingerprint dynamic adjustment, multi-modal content rhythm and emotion are coordinated and unified, brand expression is kept stable, and the overall consistency and propagation effect of advertisement creativity are improved.

Techniques are provided herein for providing information during a life cycle of a user's engagement with a product or service. A wireless device is configured to, in response to processing a computer readable artifact after the user has acquired the product or service, transmit a request for first information pertaining to the product or service. A computer is configured to retrieve the first information without regard for the life cycle of the product or service. The computer is further configured to retrieve supplemental information pertaining to the product or service, and provide the first information together with the supplemental information to the wireless device. The supplemental information retrieved varies depending on a current state of the life cycle.

Described is a system for feeding pet avatars by accessing a particular geographic location for a first user; accessing map data for the particular geographic location; identifying that a pet avatar for a second user is associated with the particular geographic location; causing display, on a first computing device of the first user, of: the particular geographic location using the map data; the pet avatar; and an interface element configured to feed the pet avatar; receiving a user selection of the interface element from the first user; causing display, on the first computing device for the first user, of an indication of the pet avatar being fed corresponding to the interface element; and transmitting a notification to a second computing device of the second user including an indication that the pet avatar is being fed corresponding to the interface element.

The invention discloses an advertisement creativity dynamic generation and adaptation method and device, equipment and a medium. The method comprises the following steps: constructing a media characteristic knowledge graph for storing context characteristics, content format specifications and user portraits of different media platforms; carrying out multi-modal semantic analysis on the input initial creative material and extracting semantic elements; inputting the knowledge graph and the semantic elements into a generative adaptive model for processing, and outputting adaptive creative content which is matched with a target media platform in context and format and retains core semantics; putting the adaptive creative content on the target media platform and collecting deep behavior data generated by interaction between the user and the adaptive creative content; and performing iterative optimization on the generative adaptive model based on the depth behavior data, and reversely updating the media characteristic knowledge graph according to the optimization. According to the invention, deep and real-time intercommunication between creative design and media characteristics is realized, and the propagation effectiveness and brand consistency of advertisement creativity are improved.

The invention discloses a short video promotion optimization method and system, relates to the technical field of short video promotion optimization, and aims to solve the problems that when an existing short video promotion method is used for processing subtle elements which may cause different understandings of users in video contents, intentions of merchants are difficult to accurately convey, target users are difficult to reach, and the user experience is poor. The method comprises the steps of obtaining content data of a to-be-promoted video, performing multi-meaning element identification on the content data to determine at least one potential multi-meaning element in the to-be-promoted video, and determining a situational misreading risk assessment result of the potential multi-meaning element according to the potential multi-meaning element and a preset user situation model, and according to the situational misreading risk assessment result, a pre-stored promotion constraint condition and a content modification cost model, making a decision between the content modification strategy and the audience screening strategy to generate an initial intervention strategy, executing the initial intervention strategy, and optimizing the promotion process based on user feedback data obtained after execution.

The invention provides a big data advertisement putting method and system based on a cloud platform. The method comprises the following steps of performing multi-source data collection and preprocessing; dynamically constructing a user portrait; performing multi-dimensional analysis on the behavior pattern; target audience subdivision is based on a Gaussian mixture model; dynamically generating personalized advertisement creativity; a step of optimizing a multi-target delivery strategy; a step of real-time bidding and bidding optimization; a step of putting execution and real-time monitoring; a step of effect evaluation and multi-dimensional feedback; and carrying out adaptive system adjustment and iterative optimization. The big data advertisement putting method based on the cloud platform has the advantages that putting precision and efficiency are improved, audiences are subdivided through complex statistics, dynamic creativity is generated, advertisement correlation is enhanced, the predicted click rate is increased by 15-20%, and budget waste is reduced. And the cloud platform supports stream processing and automatic adjustment, so that the system can quickly respond to market changes, and the delay is reduced to a millisecond level.

A media sharing and communication system, including a recording mechanism that records a desired portion of media upon activation by a first individual user, a first user transmitter / receiver that transmits the portion of media and a message generated by the first individual user regarding the portion of media to a second individual user and is capable of transmitting a message to a second individual user, a confirmation mechanism that confirms that the second individual user is authorized to view the portion of media, a notification mechanism that notifies the first individual user if the second individual user is not authorized to receive the portion of media, a second user transmitter / receiver that receives the portion of media and voice message upon authorization of the second individual user, a search mechanism, and a video recording mechanism, an online betting module, and an online food ordering module.

The invention relates to a water dispenser advertisement playing method, system and device based on cloud linkage and a medium, and relates to the field of advertisement putting and device linkage control, and the method comprises the steps that the playing behavior of a customized advertisement is adjusted based on a preset triggering rule or a cloud instruction, and the playing behavior comprises an autonomous playing event and a user triggering event; recording the playing behavior and the equipment state change in real time, and reporting the playing behavior and the equipment state change to a cloud according to a preset reporting strategy; and receiving an analysis report generated by the cloud based on the reported advertisement playing behavior and the equipment state change, and optimizing the advertisement putting rule according to the analysis report. According to the invention, remote centralized management, real-time pushing, accurate putting and playing state monitoring of the advertisement content can be realized, so that the efficiency and flexibility of advertisement release are improved.

The application provides an advertisement display method and related equipment thereof. The method comprises the following steps: a terminal sends an advertisement request to an advertisement server; the terminal receives a return message sent by the advertisement server in response to the advertisement request; the terminal judges whether a second advertisement has been downloaded within a preset time; if the terminal has downloaded the second advertisement within the preset time, the terminal displays the second advertisement; and if the terminal has not downloaded the second advertisement within the preset time, the terminal displays a first advertisement. The embodiment of the application can improve the display frequency and efficiency of advertisements.

An information processing apparatus includes an acquisition device that acquires input information, and an output device that generates content using a first element and a second element different from the first element, from the input information such that the content is acquired based on different elements.

A content editor or a plugin thereto automatically generates authorship tokens that identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

A method may include obtaining an advertising campaign, determining one or more devices associated with a consumer, and associating the one or more devices with a consumer identifier. The method also includes obtaining data associated with the one or more devices associated and corresponding the data with the consumer identifier. The method also includes deduplicating the data related to the consumer identifier across one or more viewing methods. The method also includes displaying the deduplicated data. The method also includes adjusting the advertising campaign based on user input.

A system and method for generating a digital media plan. The method includes extracting advertisement features from an advertisement image; generating at least one prompt for a campaign dimension based on one or more of the extracted advertisement features; feeding the at least one prompt for each respective campaign dimension based on one or more extracted advertisement features to a target large language model; receiving responses to the prompts of the target large language models; and aggregating the answers to generate a digital media plan.

The AI detection system processes content. The AI detection system extracts text with optical character recognition technology. A machine learning model is applied to the text to determine a likelihood of whether the text was generated by AI. A machine learning model is applied to the text to determine a likelihood whether the text includes a flaggable claim. A machine learning model can be applied to the image to determine a likelihood of whether the image was generated by AI. The AI detection system causes an indicator, such a warning, to also be presented to the user computing device that received the content.

The invention belongs to the technical field of advertisement media, and particularly relates to a reinforcement learning optimization channel weight double-attribution advertisement effect analysis system and method, and the method comprises the steps: collecting multi-source heterogeneous data, and carrying out the preprocessing, so as to obtain standardized data; a reinforcement learning algorithm is designed, weights are distributed according to dynamic time sequence attention, a double-weight coordination action space is constructed, and a multi-modal coding state and action requirements are obtained; multi-modal data is coded, text, time sequence and structured data are coded respectively, and feature vectors matched with the model are output through modal attention fusion; designing a reward function, and generating a reward signal for real-time optimization; and a real-time optimization mechanism is constructed, parameters are updated in a layered manner, gray scale verification is performed, multi-source heterogeneous data preprocessing and enhancement algorithm design are promoted, and a closed loop is formed. According to the method, the effectiveness and accuracy of advertisement effect analysis are effectively improved, and the adaptability to multi-source heterogeneous data and dynamic scenes is enhanced.

A content editor or a plugin thereto automatically generates authorship tokens that identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

The embodiment of the invention relates to the technical field of artificial intelligence, and discloses an advertisement material generation method and device based on a multi-modal large model, equipment and a storage medium, and the method comprises the steps: receiving an advertisement material generation command, inputting title data into a large language model according to the command, carrying out the core semantic reservation and compression processing, and outputting a prompt title; if the commodity main image has no background, inputting the commodity main image and the commodity category into a large-scale visual language model to generate a scenarized background prompt word; inputting the commodity main image and the background cue word into an image editing model for semantic fusion and synthesis to obtain a background synthesis main image; and loading the image-text advertisement template and the template information, and generating batch advertisement materials according to the image-text advertisement template, the template information, the background synthesis main image, the prompt title and the price information. Through the mode, the method is adaptive to diversified commodity characteristics, and collaborative understanding and fusion are carried out on image and text multi-modal information, so that the advertisement quality and the batch generation efficiency are improved.

A method for increasing content interactions of users includes receiving approval data indicative of a pool of individuals for whom inclusion in a campaign of a content sponsor has been approved by the content sponsor, determining that content of the content sponsor is to be presented to a user of a client device, selecting, based on one or more user signals representing one or more online activities of the user, an individual from the pool of individuals to be included in a content item of the content sponsor, and generating a modified content item. Generating the modified content item includes identifying bounds of a replaceable region of the content item and inserting an image of the selected individual within the identified bounds of the content item. The method also includes causing the modified content item to be served to the client device for presentation to the user.

The invention relates to the technical field of recruitment advertisement putting, in particular to an intelligent recruitment advertisement putting decision-making system based on a big data model, which comprises an advertisement putting management center, a data acquisition module, a recruitment matching module, a putting precision module, a post division module, a putting effect module and a response management module. According to the method, based on multi-dimensional feature matching of cosine similarity, the recommendation list is dynamically adjusted in combination with job seeker behaviors, it is ensured that high-matching-degree job seekers are preferentially reached, through secondary verification and interaction score weighting, high-intention crowds are further screened out, invalid advertisement putting is reduced, the enterprise recruitment cost is reduced, and the enterprise recruitment efficiency is improved. And the post priority is converted from qualitative description to quantitative score, so that an objective basis is provided for advertisement budget distribution and putting strategy adjustment, and meanwhile, the pushing time period, channel and content are dynamically optimized through comparison between prediction and actual effects, so that a traditional experience-driven recruitment mode is promoted to be transformed into a data-driven intelligent decision-making mode.

A method assigns token requirements to service subscriptions in a service platform, such as a service platform containing entities or a database containing a plurality of said entities. The operator of the service platform establishes customization factors and maintains records reserving data services associated with token requirements for delivery to entities. In addition, customization factors are determined from values representing information associated with objects in a database. Token requirements associated with data services are calculated from one or more formulas utilizing customization factors. Sponsorships associated with the entities can be accepted by the service platform. The service platform can apply credit toward the fulfillment of token requirements. An entity can be provided a data service based on a relationship with a sponsorship such that an entity assigned a subscription having a token requirement fulfilled as a result of applying credit from a sponsorship will receive services related to the subscription.

Methods and apparatus disclosed herein can be used to perform co-viewer adjustment. An example apparatus or viewership adjustment includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to determine compliant and non-compliant household panel meter data based on household metrics for past household viewing behavior, adjust undercounted viewership data based on an active media session interval associated with the household metrics, adjust overcounted viewership data based on a viewership model, the viewership model trained using the compliant household panel meter data, and output adjusted viewership data based on the adjusted undercounted viewership data and adjusted overcounted viewership data.

The invention discloses a new media advertisement putting and monitoring integrated system, and the system comprises a user portrait construction module which obtains the browsing behavior, geographic position and social interaction data of a user at a mobile terminal, a PC terminal and an intelligent terminal through a multi-source data collection unit, and generates a dynamically updated user interest tag; the intelligent advertisement putting engine is used for matching advertisement contents with user portraits in real time based on a deep reinforcement learning algorithm and supporting programmed cross-platform bidding and private market direct putting; according to the invention, through multi-dimensional effect evaluation, emotion analysis and user life cycle value prediction are introduced, and a comprehensive evaluation system is constructed; data security is enhanced, and through homomorphic encryption and block chain technologies, user privacy is guaranteed and a non-tampering effect auditing voucher is provided. The customer obtaining cost of advertisers can be obviously reduced, and the rate of return on investment is improved.

The invention relates to an advertisement triggering method, an advertisement pushing method, a client, a server and a system.The advertisement triggering method comprises the steps that a multi-mode real-time behavior data sequence generated by interaction behaviors of a user in a current application program is collected, and the interaction behaviors comprise at least one of searching, clicking, browsing, screen scrolling and deep interaction; generating a time sequence behavior sequence vector representing the dynamic intention state of the user based on the multi-mode real-time behavior data sequence; processing the time sequence behavior sequence vector based on an intention classification model, and identifying a current real-time intention category of the user; in response to the fact that the recognized real-time intention category is matched with a preset situation trigger point, an advertisement request is sent to the server side, and the advertisement request comprises a time sequence behavior sequence vector and / or the real-time intention category; and receiving the advertisement content returned by the server, and displaying the advertisement content in the reserved dynamic advertisement slot. According to the scheme, the real-time performance of advertisement pushing and the matching precision of the advertisement content and the real intention of the user are improved.