19 results about "Social content" patented technology

Embodiments of the present application disclose an application trial method and device, a medium and a computer program product, and relate to the technical field of human-computer interaction. The method comprises: displaying an information stream interface of a target user account, the information stream interface comprising social content published by at least one content publishing account on a content interaction platform; displaying application recommendation content of a target application in the information stream interface; in response to a target interaction operation on the application recommendation content, displaying an application trial interface of the target application, the application trial interface being a running interface of a trial instance of the target application running in a server; and in response to a use operation in the application trial interface, sending a use operation instruction to the server to control the trial instance based on the use operation instruction and update the application trial interface. The application trial method and device provided by the embodiments of the present application improve the application recommendation effect and help to improve the download conversion rate of application recommendation.

The present application relates to a kind of based on platform recommendation utility characterization implementation social platform information propagation prediction method, comprising the following steps: generating social content representation and social user representation;Social platform recommendation vector is built;According to network structure channel, the propagation process is predicted;Fusion platform recommendation channel;Decoding obtains subsequent time infected user.The present application also relates to a kind of based on platform recommendation utility characterization implementation social platform information propagation prediction device, processor and its computer readable storage medium.The momentum updating mode is used to iteratively update platform recommendation vector in the present application based on platform recommendation utility characterization implementation social platform information propagation prediction method, device, processor and its computer readable storage medium, can keep the stability of feature semantic distribution, using the idea of gated network, platform recommendation mechanism is regarded as parallel channel with friend propagation, when carrying out propagation prediction, the influence of platform recommendation mechanism is introduced.

The invention provides a method and device for identifying illegal users on a social platform, equipment and a medium. The method comprises the following steps: carrying out risk detection on user equipment by adopting a first risk control strategy to obtain a risk identification class; performing abnormal behavior detection on the associated account by adopting a second risk control strategy to obtain an associated account detection result; updating the risk identification class based on the associated account detection result; if the risk identification class is a preset identification class, determining group behavior characteristics of a social content receiver; performing anomaly detection on the group behavior characteristics by adopting a third risk control strategy to obtain a behavior characteristic detection result; updating the risk identification class based on the behavior feature detection result; and determining whether the current account is illegal or not based on the risk identification class of the final iteration update. Therefore, a dynamic risk control mode of'content-account-group 'three-dimensional joint defense is established by setting multi-level risk control strategies, so that multi-angle identification of illegal and illegal users is realized, the limitation of traditional single-point auditing is broken through, and the identification precision of the illegal and illegal users is effectively improved.

The invention relates to an interaction method and device based on promotion content, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that a social information flow interface of a first account is displayed, the social information flow interface comprises social content sent by a second account having a social relationship with the first account and promotion content sent through a target promotion account, and a virtual article in a first state is displayed in a display area of the promotion content; in response to an interaction operation on the virtual item in the first state, displaying a sharing interface about the virtual item, and displaying a virtual item in a second state in the sharing interface; and in response to a sharing operation on the virtual item in the sharing interface, sharing the virtual item. In this way, the interaction experience is improved.

Systems and methods for creating a social content-viewing experience are described herein. In one embodiment, users are located in different physical locations. Each user is viewing a screen in a respective physical location. Content displayed on the screens is synchronized by a media system such that each user is viewing the same media asset. A media asset may be a movie, TV show, sports game, photo, presentation, or video game, to name a few examples. At least one user is using an AR headset. The AR headset displays avatars to represent the other users and displays the avatars in the viewing area of the user wearing the AR headset. For the user wearing the AR headset, the avatars provide a viewing experience that simulates having the other users present in the viewing area.

The invention relates to the technical field of artificial intelligence and edge voice interaction, and particularly discloses an asynchronous social contact method based on anthropomorphic voice expression. According to the method, through the steps of voice collection, semantic analysis, content generation, role scheduling, emotion setting, expression confirmation, designated broadcasting and the like, emotional asynchronous voice communication between users in a personification role is realized. A user can select an expression role and a voice style, and modifies expression content through audition confirmation. The system can generate expression content with mood and personality characteristics in combination with an AI model, supports cross-device broadcasting and role mapping, and is suitable for various edge terminals such as dolls, voice boxes, wearable devices, mobile phones and the like. According to the method, a screen-free and non-account social contact path is constructed, and the method is particularly suitable for temperature expression of children, old people, lovers and special crowds. Compared with the prior art, the emotion bearing capacity and the interaction freedom degree of the social content are remarkably improved, and good universality and commercialization value are achieved.

The application discloses an interface display method and device, equipment and medium, and relates to the field of human-computer interaction. The method comprises the following steps: displaying an information stream interface of a first user account, the information stream interface comprising first social content sent by at least one recommended account, at least one biological object being displayed in the display area of the first social content; in response to an interactive operation on the first social content, displaying a multimedia broken frame element of a target biological object in the at least one biological object in the information stream interface, the multimedia broken frame element being used for showing the visual image of the target biological object, and the display position of part or all of the display content of the multimedia broken frame element exceeding the coverage range corresponding to the display area of the first social content; and in response to a trigger operation on the multimedia broken frame element, displaying an information display interface associated with the target biological object.

The application discloses a kind of deep integration social content and relationship sentiment analysis method of multimodal data analysis technical field, including feature preprocessing, picture-text attention based on Transformer, node-guided picture-text joint attention and four modules of multimodal graph reasoning.Wherein, feature preprocessing module is mainly used to extract and process picture, text and social relationship network features;Picture-text attention based on Transformer module is used to capture fine-grained emotional feature association and complementary information between picture and text;Node-guided picture-text joint attention module and multimodal graph reasoning module explore the influence of social relationship on picture-text sentiment polarity from two aspects of social network topology and neighbor content information respectively.The application comprehensively utilizes the data of three modalities of picture, text and relationship network, and carries out deep integration and reasoning of social content and relationship through cross-modal attention mechanism, graph neural network and other technologies, effectively improves the accuracy of multimodal sentiment analysis.

Systems and methods provide generating social content for social platform. An indication of an event and an indication of a social platform is received from a user device. A query template is selected based on the indicated social platform. A query is generated using the query template which provided as input to a machine learning model. In response, the machine learning model generates a social content, which is provided for display on the indicated social platform.

Digital marketing and customer relationship management systems, particularly to systems and methods designed for businesses to send targeted messages, referred to as “Nudges™” and “Reverse Nudges™” to engage customers, enhance customer loyalty, and increase sales through personalized offers and interactions. The system includes a “Dine Savvy™ Media Feed”—an AI-powered social content platform that aggregates and personalizes dining-related Posts, Nudges™, Super Nudges™, and Savvy Nudges™ using Vibe Vector-based emotional matching, contextual targeting, aesthetic refinement, and automated moderation.

The invention discloses a social information maximization propagation method and system based on information variation, and the method specifically comprises the steps: carrying out the quantification of information variation, constructing an expression from a piece of social content to a multi-dimensional information vector, and enabling each dimension to correspond to a certain specific attribute of information, quantizing variability between different information vectors through a cosine similarity function of any two information vectors; content sentiment calculation is carried out, when it is detected that the similarity of the information is lower than a threshold value, sentiment polarity analysis is carried out on the information through a sentiment classification model, and if the information shows strong forward sentiment, it is considered that the user is effectively influenced; and finally, selecting propagation nodes, and selecting user nodes by adopting a greedy algorithm based on the ERR set so as to maximize the propagation effect of information. According to the method, a feasible optimization strategy is provided for information spreading on an actual social network platform, the spreading effect and coverage range of social information are effectively improved, and the product popularization accuracy and the popularization effect of related products are improved.

The invention is applicable to the field of content auditing, and provides a hierarchical auditing method based on network platform content, which comprises the following steps of: analyzing a content data packet to obtain theme feature data and account attribute data, verifying, and when the theme feature data is matched with a preset social event keyword library and an account belongs to an unofficial account, sending the account attribute data to the network platform; temporarily storing text data extracted from the content data packet; extracting core elements based on the text data to perform retrieval query, and receiving a returned feedback data set; comparing the text data with the feedback data set to obtain similarity comparison data, and generating an authenticity confidence score based on the similarity comparison data; and matching the authenticity confidence score with a plurality of preset threshold intervals, and triggering a corresponding grading processing operation according to a matching result. According to the method, the limitation that only dominant violation characteristics can be identified in the prior art is effectively broken through, and the authenticity of the social content published in the network platform is accurately identified.

The embodiment of the invention discloses a content display method and device, a terminal and a storage medium, and relates to the field of human-computer interaction. The method comprises the steps of displaying an information flow interface of a social platform, displaying social content published by a social account in the information flow interface in a first multi-grid display mode, and displaying different social content in different grids in the first multi-grid display mode; displaying the promotion content published by the promotion account in the information flow interface in a second multi-grid display mode, wherein different promotion contents are displayed in different grids in the second multi-grid display mode; wherein the grid size of at least one grid in the second multi-grid display mode is different from the grid size of a single grid in the first multi-grid display mode. By adopting the method provided by the embodiment of the invention, the promotion effect can be improved, and the click rate and conversion rate of the promotion content are improved.

The present specification provides, amongst other things, a novel computing resource optimization engine. In one example system, a plurality of publisher platforms for access by a plurality of client devices is provided. The plurality of publisher platforms can carry certain content for direct consumption and additional content for suggesting diversion to one of a plurality of target platforms. Each publisher platform may generate unique primary content but be configured to carry similar secondary content for the suggested diversion. The system includes an optimization engine configured to reduce wasted network bandwidth and other computing resources by embedding the diversionary content into the primary content, thereby biasing the diversionary content on the publisher platforms towards the client devices that more commonly result in generation of secondary content that actually causes diversions to the target platforms.

The invention provides a multi-modal content aggregation and expression normalization method and device oriented to social big data. The method relates to the technical field of natural language processing, and comprises the following steps: carrying out content filtering on an original social text set to obtain an effective text content set; performing text coding on each effective text content, and splicing with the time feature vector corresponding to the effective text content to obtain a corresponding multi-modal fusion vector; carrying out similarity calculation on any two multi-modal fusion vectors, and gathering the effective text contents into a plurality of content groups according to the similarity; key information is selected by adopting a multi-path query driven attention Top-k mechanism, and an aggregation result vector is obtained through fusion gating; determining the central content of each content group; and selecting a preset number of center contents as content output of multi-modal content aggregation and expression normalization. According to the method, accurate aggregation and primary and secondary discrimination of the multi-modal social content under the label-free condition are realized.

The application provides a multi-modal content aggregation and expression normalization method and device for social big data. It relates to the technical field of natural language processing. The method comprises: performing content filtering on an original social text set to obtain an effective text content set; performing text coding on each effective text content and splicing the effective text content with a time feature vector corresponding to the effective text content to obtain a corresponding multi-modal fusion vector; performing similarity calculation on any two multi-modal fusion vectors and grouping the effective text content set into multiple content groups according to the similarity; selecting key information by using a multi-path query driven attention Top-k mechanism and obtaining an aggregation result vector through fusion gating; determining the center content of each content group; and selecting a preset number of center contents as the content output of multi-modal content aggregation and expression normalization. The application realizes accurate aggregation and primary and secondary discrimination of multi-modal social content under a label-free condition.

The invention discloses an information flow advertisement display method and device, equipment and a medium, and belongs to the field of human-computer interaction. The method comprises the steps that an information flow interface of a first account is displayed, the information flow interface is used for displaying social content sent by at least one content publishing account, and the information flow interface comprises a first information flow advertisement; and in response to the received sliding operation, changing the display position of the first information flow advertisement on the information flow interface from the first display position to the second display position, and changing the display form of the advertisement jump link of the first information flow advertisement from the first display form to the second display form. According to the method and the device, the display form of the advertisement jump link is changed along with the sliding operation, the advertisement jump link with the dynamically changed display form has stronger visual attraction, and a user can trigger the advertisement jump link more easily, so that the utilization rate of the advertisement jump link can be improved, and waste of layout resources for layout of the advertisement jump link is avoided.

Systems and methods provide generating social content for social platform. An indication of an event and an indication of a social platform is received from a user device. A query template is selected based on the indicated social platform. A query is generated using the query template which provided as input to a machine learning model. In response, the machine learning model generates a social content, which is provided for display on the indicated social platform.

1. Name of the product in this design: Editing tool for the graphical user interface of a social content platform for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are: the solid lines in the graphical user interface, and the dashed lines do not constitute part of the design for which protection is sought. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Electronic devices are designed in a conventional way, so other views are omitted. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: The overall interface is an online platform for users to create and share content. The protected local interface is used for editing content. Clicking "New edit" on the main views of designs 1, 3, 5, 6, 8, and 9 enables the creation and editing of new content. The main views of designs 2, 4, and 10 display the corresponding design change state diagrams by swiping gestures. The main view of design 7 displays design 7 change state diagram 1 and design 7 change state diagram 2 in sequence by swiping gestures.