180 results about "User engagement" patented technology

The invention discloses a user participation degree prediction method based on distillation multi-modal retrieval enhancement, and belongs to the technical field of social media data mining and user behavior analysis. According to the method, the correlation of the UGC is evaluated by introducing the self-enhanced distillation module, and the top-K related UGC is selected in combination with the selected retriever, so that the interference of irrelevant information on the related UGC is effectively avoided, and the noise caused by irrelevant artifacts can be filtered out when the related UGC is retrieved, thereby keeping the original feature representation of the related UGC. The heterogeneous graph construction module enhances the interactive representation capability between UGCs through multi-relation modeling, and can more accurately optimize a prediction result in user participation prediction. According to the method, information retrieval between the related UGC and the unrelated UGC can be better balanced, excessive diffusion of unrelated information is avoided, and the performance of the model in user participation degree prediction is improved. Particularly, when complex multi-modal data containing a large number of irrelevant UGCs is processed, the mechanism can effectively enhance the distinction degree of the relevant UGCs, and the prediction accuracy is improved.

Apparatus for predicting an outcome of user engagement and methods used therein include a processor and a memory connected to the processor, wherein the memory contains instructions configuring the processor to receive user data that include a plurality of data attributes, populate a data retrieval module using the user data, the data retrieval module including assessment metrics, wherein populating the data retrieval module includes assigning a weight to each data attribute of the data attributes as a function of at least an assessment metric of the assessment metrics, rank the data attributes as a function of the weight, and generate an outcome prediction, as a function of the ranked data attributes.

The present disclosure provides a search engine optimization (SEO) system comprising a remote server. The remote server comprises a memory with a set of executable routines and a search engine database with multiple fields of applications, each associated with multiple URLs indexed with a user engagement matrix, written data, and a search engine ranking. A processor acquires a web link from a computing device, extracts textual content, analyzes relevancy, and retrieves relevant URLs. The processor evaluates a thematic score, a readability score, and an emotional tone data using NLP techniques, analyzes written data of each URL to determine a topic weight, a legibility weight, and a sentiment tone data, develops a machine learning model, applies the model to recommend content alterations, and renders the alterations at the computing device.

Correlations between a set of linguistic features identified in an unstructured text recited in a source language and a set of user engagement analytic parameters may be measured by a machine learning model selected based on a set of performance metrics from a set of machine learning models trained by a set of supervised machine learning algorithms on (i) a set of unstructured texts recited in the source language and containing the set of linguistic features and (ii) the set of user engagement analytic parameters measured for the set of unstructured texts. The machine learning model grades the unstructured text recited in the source language to determine whether the unstructured text recited in the source language should be (1) edited in the source language and then translated into the target language or (2) translated from the source language to the target language as is.

In an interactive media system, for example, in a video game or extended reality (XR) environment, interactive media event information may be received. An interactive media satisfaction value may be determined based on one or more interactive media events received. For example, the event may be scoring a point by the user. When the interactive media satisfaction value is determined to be high, supplemental content with more upbeat themes may be selected for display in the interactive media user interface, while supplemental content with more negative themes, or more comfort-oriented or escapist themes may be selected when the satisfaction value is low. A user engagement metric may also be determined and used for timing, locating, and selecting a mode for presenting the supplemental content.

One or more computing devices and / or methods for retrieval augmented multiple choice question and answer generation on search queries are provided. A pregeneration prompt may be generated based upon a user input query, one or more chunks of content, and / or instructions for a model. The pregeneration prompt is input into the model to generate an initial question. Another prompt is generated based upon the initial question, the one or more chunks of content, and / or the instructions. The prompt is input into the model to generate question and answer content in a multiple choice format that is provided through a user interface for user engagement.

Example implementations include methods and systems that relate to search results and recommendations in a media content delivery system. An example method includes providing a search query to a multi-task language model associated with a media content delivery system. The method also includes providing user engagement information to the multi-task language model. The user engagement information indicates user engagement activity with the media content delivery system. The method also includes retrieving, using the multi-task language model and based on the search query, one or more candidate media items from a media item database of the media content delivery system. The method also includes identifying, using the multi-task language model and based on the user engagement information, one or more recommended media items from the media item database.

The invention relates to a virtual power plant optimization scheduling method and system. The method comprises the following steps: establishing an operation model of a multi-type adjustable resource main body; constructing a master-slave game model of the aggregator and the resource main body, wherein the master-slave game model comprises an upper-layer model taking the aggregator as a leader and a lower-layer model taking the resource main body as a follower; solving a master-slave game model of the aggregator and the resource main body to obtain an optimal compensation price strategy and an optimal response power strategy, and constructing an optimal power scheduling plan according to the optimal response power strategy; the optimal power scheduling plan is used for being issued to each adjustable resource main body for execution so as to realize optimal scheduling of the virtual power plant. According to the method, the participation enthusiasm of the resource main body can be stimulated, the user participation degree can be improved, the scheduling instruction execution rate can be improved, the model accuracy can be improved, the cooperative capability of heterogeneous resources can be improved, and the overall operation economy and stability of the virtual power plant can be improved.

The appearance customization method of a three-dimensional model, an electronic device and a storage medium provided by the present application relate to the technical field of three-dimensional modeling. The method comprises: obtaining a texture coordinate mapping diagram of a target three-dimensional model surface, the texture coordinate mapping diagram being used to represent a mapping relationship from the three-dimensional model surface to a two-dimensional plane; generating an appearance design texture file based on an image material selected by a user and a target region in the texture coordinate mapping diagram; and fitting the appearance design texture file to the target three-dimensional model surface based on the mapping relationship defined by the texture coordinate mapping diagram to obtain a virtual appearance model image. Thus, the present application can customize the appearance requirements of a three-dimensional model according to the personal preferences of a user, thereby avoiding the problem of aesthetic fatigue caused by fixed preset styles and improving the interactive interest and user participation of the three-dimensional model.

The present disclosure provides a computer-implemented system and method for creating and serving cause-aligned digital personalized content that convert user engagement into real-time brand-funded donations. The system employs machine learning algorithms to match brands with compatible causes and relevant users, generating personalized advertisements in real-time. A key feature is the interactive AdsUp button, which triggers micro-donations from brands to causes based on user engagement. The system incorporates a continuous learning module that refines the machine learning model using real-time user engagement data, ensuring ongoing improvement in targeting personalized content and effectiveness.

The invention presents a novel AI-based system for real-time feedback during the creation of various forms of media, including text, audio, and video. The system simulates audience reactions, providing creators with insights into how their content is likely to be perceived by different audience segments. This feedback loop enhances the quality and effectiveness of content, helping creators avoid ambiguity, maintain engagement, and ensure their message resonates with the intended audience.

A technique for predicting and recommending service offerings includes obtaining an initial dataset related to a user interaction with an online recommendation system during a user online session, generating a predicted intent of the user online session, and generating an initial set of recommendations based on the predicted intent of the user online session. The technique includes ranking the initial set of recommendations to generate a set of ranked recommendations, generating a predicted sequence of actions of the user, and determining that the ranked set of recommendations are to be re-ranked into a re-ranked set of recommendations. The technique includes generating a semantically customized ranked set of recommendations using at least one of the ranked set of recommendations or the re-ranked set of recommendations and providing the semantically customized ranked set of recommendations to the user.

The invention discloses a conference room control method and system based on an intelligent sensing smart home, and the method comprises the steps: enabling a controller to sense the meeting of a current preset conference starting condition based on smart home equipment, controlling an intelligent conference table to collect and obtain current conference voice data, and controlling an image collection device group to collect and obtain current conference video data; and then the current conference voice data and the current conference video data are respectively identified to obtain current conference summary text data and a current conference user participation degree identification result, and the current conference summary text data and the current conference user participation degree identification result are filled into the conference summary template to generate a current conference detailed data report. According to the embodiment of the invention, a plurality of intelligent home devices in the intelligent conference room can intelligently sense the conference participation condition of participants, and carry out high-safety sound and video data and video data collection after the conference begins. And when the conference is finished, the current conference detailed data report for evaluating the conference participation degree of the participants is intelligently generated, so that the intelligent and efficient processing of the conference related data is realized.

In accordance with the present disclosure, one or more computing devices and / or methods are provided. In an example, a query may be received from a client device. In response to the query, a set of search results corresponding to a set of internet resources associated with the query may be generated. The set of search results may include a first search result corresponding to a first internet resource of the set of internet resources. A first popularity score associated with a first search result of the set of search results may be determined based upon one or more first user engagement metrics associated with the first internet resource. A search interface may be displayed on the client device. The search interface may include a first representation of the first search result and a first graphical popularity indicator indicative of the first popularity score.

A computer-implemented method for regulating delivery frequency of outbound communications. The method includes receiving message context data comprising one or more of a user identifier, a client identifier, a campaign identifier, a channel identifier, a label identifier, and a trigger identifier. A counter-field identifier is determined that encodes the channel identifier, label identifier, trigger identifier, campaign identifier, and a temporal-interval indicator. A counter field identified by the counter-field identifier is created. A value stored in the counter field is incremented through an atomic operation. The value is compared with a limit stored in a rule set. An allow signal is output when the value does not exceed the limit and a suppress signal is output when the value exceeds the limit. An engagement-counter record is updated to the in-memory database.

This invention relates to the field of smart terminal technology, and particularly to an interface display method, apparatus, and electronic device. The method includes: responding to a system startup command of the electronic device, controlling the main screen of the electronic device to display a first interface, and controlling the negative one screen of the electronic device to display a second interface, wherein the first interface and the second interface are thematically related. This invention enhances the logical correlation between the content displayed on the main screen and the content displayed on the negative one screen, strengthening the connection between the main screen and the negative one screen while providing users with an incentive to swipe into the negative one screen, thus providing a certain level of user engagement for the negative one screen, cultivating the habit of users swiping into the negative one screen, and thereby increasing user activity on the negative one screen.

The invention discloses a method, a system, equipment and a medium for sharing a user participating in an auxiliary service based on dynamic analysis, and relates to the technical field of electric power auxiliary services, and the method comprises the steps: building a user participating in auxiliary service benefit degree quantification model, and quantifying the benefit degree of each user obtained by participating in the auxiliary service; determining a corresponding cost sharing proportion based on the total benefit degree of the user, and calculating the sharing amount of each user in combination with the supply cost, the operation cost and the risk cost of the auxiliary service; setting a stepped excitation coefficient and an influence factor according to the sharing amount, the participation frequency and the response quality of each user, and calculating the final excitation amount of the user; and establishing a dynamic adjustment and constraint model for mechanism operation, and periodically adjusting each parameter and factor. According to the method, the user benefit degree is taken as the calculation basis of cost sharing, and the participation behavior quality is brought into incentive adjustment, so that the fairness of auxiliary service cost distribution is improved, and the participation enthusiasm of the user and the operation flexibility are enhanced.

This application discloses a link switching method, apparatus, electronic device, and computer-readable storage medium, relating to the field of communication technology. The method includes: receiving link switching description information, which is obtained by a user through voice, text, or image input; performing intent recognition on the link switching description information to obtain link switching intent information; generating a link switching command based on the link switching intent information; and executing the link switching command to switch the current transmission link to a target transmission link. By performing link switching processing based on the user-input link switching description information, the method achieves a direct response to the user's link switching requests, increasing user participation and improving user experience. Furthermore, by recognizing the intent of the user-input link switching description information, the accuracy of link switching control is improved.

Methods, systems, and computer storage media for providing an advertising campaign management engine in an artificial intelligence system are described. Advertising campaign management refers to the process of planning, executing, monitoring, and optimizing advertising campaigns. Operationally, first, high-conversion design modeling and mining analyzes performance data and user preferences to identify design elements—such as image style and text layout—that drive engagement. Second, design requirement generation converts ad optimization profiles into structured prompts that guide the refinement of ad designs. Lastly, design fine-tuning leverages advanced generative models to adjust ad elements, such as images and layouts, based on the generated requirements. The advertising campaign management engine supports an iterative process that enables automated updates and optimizations, allowing ads to be tailored to specific demographics. For example, it could produce quirky designs for young adults or simplified layouts for seniors. Refined ads are then deployed and continuously monitored for performance improvements.

Techniques for sight detection to dynamically select visible portions of flexible displays are described and are implementable to improve user engagement with graphical content that is output from the flexible display. In implementations, a mobile device includes a flexible display, a sensor, and at least one processor. The processor is configured to cause the mobile device to detect a user line of sight to the flexible display based on the sensor. A visible display region of the flexible display is selected based on a fold position where the flexible display is bent, a sensor position, and the user line of sight. Then, the flexible display is controlled to present graphical content in the visible display region.

The application relates to the technical field of intelligent marketing, in particular to a multi-modal intelligent IP transformation method and system based on global marketing. The method comprises the following steps: obtaining topic information and publishing account information; analyzing the publishing account information to determine the account type; determining associated hot spot information according to the account type; and determining script generation logic according to the associated hot spot information, the account type and the topic information. The method can reduce the risk of mismatch between content and account positioning, improve pertinence and efficiency. According to the account type, the associated hot spot information is determined, the utilization efficiency of hot spot resources is optimized, the relevance and timeliness of the content are enhanced, and resource waste or user participation decline caused by hot spot misuse is avoided. According to the associated hot spot information, the account type and the topic information, the script generation logic is determined, the integrality and executability of the script are improved, and the problem of insufficient coverage of rigid content or user pain points caused by scattered logic is avoided.

A system and method for generating personalized wellness recommendations in real time, based on a user's emotional state, contextual situation, and interaction history. The system leverages a large language model (LLM) integrated with an emotion ontology based on the Wheel of Emotion to analyze both user-submitted input and historical behavior. In some embodiments, the system extracts emotional and situational cues from natural language input and recommends wellness practices that match specified preferences including emotional impact, guidance level, and duration. A fallback prioritization logic is applied to ensure relevant results even when exact matches are unavailable. The system may also generate a compassionate message aligned with the user's inferred emotional state and return structured output. In automated embodiments, the system selects a weighted mix of familiar and exploratory content. The architecture includes preference drift tracking, confidence-based filtering, and memory-optimized re-ranking to improve emotional targeting and user engagement.

The invention relates to the technical field of artificial intelligence, and discloses an interactive application management method and system for an intelligent software tutoring learning robot, and the method comprises the steps: analyzing the learning features of a user through the tutoring learning robot, achieving the intelligent grouping of an auxiliary learning group, carrying out the teaching and training distribution, and matching learning resources, the method comprises the steps of analyzing a collaborative task sequence and interaction conditions, collecting interaction data in a tutoring task, analyzing collaborative performance and influence factors thereof, extracting key learning logic key points, and finally updating interaction configuration of a robot according to the key points, thereby optimizing personalized intelligent tutoring for an auxiliary learning group. The collaborative learning efficiency and the user participation degree of the tutoring learning robot can be improved.

The present disclosure provides a page generation method and device, comprising: obtaining atomic component data and user preference data of a target event, the target event being at least one; in response to identifying a target event of the target event, obtaining a basic weight and an event occurrence time of the target event; and generating a page corresponding to the target event based on the target event, the basic weight, the event occurrence time, the user preference data and the atomic component data. The present scheme realizes the automatic, personalized and emotional generation of the page by fusing real-time event, individual user preference and structured atomic content, significantly improves the user participation and the propagation effect, greatly reduces the operation cost, provides an efficient and scalable technical path for the precise operation of the sports event, and introduces a time decay mechanism by using the event occurrence time, grades the event value in combination with the basic weight, avoids the interference of low-value events to the user, and reduces the invalid exposure.

The invention relates to an AIGC and micro-service-based 3D digital document and travel co-creation platform construction method, and belongs to the technical field of digital document and travel and computer software. The problems that in the prior art, the user participation degree is low, generated content cannot be stored for a long time, the cultural experience depth is insufficient, and the system expandability is poor are solved. According to the technical scheme, the creation threshold is reduced by integrating the text 3D technology and the graph 3D technology, a task management and automatic file transfer mechanism is established to achieve permanent storage of the model, immersive interaction modules such as a virtual workshop are integrated to provide deep culture practice experience, and high concurrent processing and elastic expansion of the system are guaranteed by adopting a micro-service architecture. The method has the beneficial effects that the participation initiative of the user is remarkably improved, the sustainable access of digital contents is ensured, the cognitive experience of cultural heritage is deepened, and the stability and iteration capability of the system are enhanced, so that the active inheritance and innovation propagation of the cultural heritage are promoted.

Systems, devices, and methods for tracking reward associated with content consumption are provided. An example method includes receiving streaming content of at least one content item from a content provider, outputting, via an application being executed on the streaming device, streaming content to a display for playback of the output content, periodically generating a plurality of heartbeat messages during execution of the application. Each heartbeat message is timestamped and includes a header containing information about the at least one content item, and one or more entries indicating a current playback state regarding the output of the streaming content when the heartbeat message is generated. The method further includes transmitting the plurality of heartbeat messages to a user engagement tracking device connected to the user device and receiving a notification indicating a total duration of content output to the display during execution of the application.

Provided in the present application are a dynamic visual effect generation method and apparatus. The dynamic visual effect generation method in the present application comprises: receiving an interaction instruction, wherein the interaction instruction is generated by an interactive operation performed by a user on a visual element within a screen space; acquiring a programmatic rule corresponding to the interaction instruction, wherein the programmatic rule is used for generating a dynamic visual effect after the interactive operation is performed on the visual element; on the basis of the programmatic rule, generating a first layer which has the dynamic visual effect, wherein the dynamic visual effect comprises visual features of the visual element, and the visual features comprise a geometric feature, a material feature and a motion feature; and fusing the first layer and a background layer, so as to obtain an image which includes a target visual effect. The present application can save storage space, reduce the power consumption of a terminal device, and meet the requirement of a real-time response to a user, thereby improving user engagement.

A robotic surgical system includes a surgical console with a tracking device for determining whether a user is engaged with the surgical console and controls a mode of operation of at least one component of the robotic surgical system based on whether or not the user is engaged with the surgical console.

The invention discloses unconstrained social media based on artificial intelligence. Systems or methods disclosed herein may provide for artificial intelligence-based social media content aggregation across multiple platforms. In an example, a computing system may receive a content query and may retrieve related content from various social media platforms. The computing system may generate an integrated content feed that includes first-party content from a platform owned by the primary entity and third-party content from an external messaging platform. The integrated feed may be arranged into the content slots, and sponsored content is intelligently placed between the organic content slots based on user engagement metrics. The computing system may implement a machine learning model to optimize content selection or placement based on the user interaction pattern.

Effectively recommend articles that match users' interests and preferences to improve engagement. [Solution] The information processing device according to the present invention is characterized by comprising: an acquisition unit that acquires a history of the user's actions; a recommended article determination unit that determines which articles the user should read now from among the articles provided to the user based on the history of the user's actions; and a display control unit that highlights the thumbnail of the article determined to be the article the user should read now from among the thumbnails of the articles provided to the user.