10 results about "Multi platform" patented technology

The invention relates to the technical field of commodity production and marketing management, and discloses a multi-platform-based marketing and production data return system, which comprises a data acquisition module, a data processing module, a profit and loss analysis module and a data return module. According to the marketing and production data return system based on multiple platforms, the data acquisition module acquires the sales information generated by multiple sales platforms, and the data processing module processes the acquired sales information to obtain the commodity sales data in a unified format. The profit and loss analysis module obtains the corresponding profit and loss data based on the production profit and loss model and the input commodity sales data, and finally, the operation background determines the corresponding production plan based on the actual production environment, the system architecture is simple, the implementation method is convenient, and the profit and loss data is obtained through the reliable commodity sales data, so that the implementation efficiency is improved. The finally obtained profit and loss data is a result matched with an actual sales condition, and an accurate and reliable data basis is provided for a subsequent commodity production plan.

The invention relates to the technical field of Internet, in particular to a multi-platform aggregated short play promotion management method and system and a storage medium, and aims to solve the technical problems of resource dispersion, high copyright risk, inaccurate attribution and complex commission settlement in existing short play promotion. The method comprises the steps that after an operation instruction is received, content resources are synchronized from an external short episode platform, and the content resources are presented to a front end after persistent storage and hotspot caching; after an episode selection instruction is received, promotion channel information and a promoter account are bound through a reporting interface, a unique promotion identifier is generated, behavior data generated by a user through the identifier are captured, income attribution is completed, and attribution order data are obtained; and calculating a commission based on the attribution order data and a preset commission extraction proportion, storing a result and pushing the result to the promoter. According to the invention, resource aggregation efficiency, copyright compliance, attribution accuracy and settlement flexibility can be guaranteed, and the overall efficiency and reliability of movie promotion management are significantly improved.

The invention discloses a cross-platform network content intelligent supervision method and system based on multi-modal AI, relates to the technical field of network content supervision, realizes unified acquisition and management of cross-platform content by establishing a multi-platform data acquisition adapter, and solves the technical problem that an existing system cannot realize cross-platform supervision. Secondly, deep fusion analysis of texts, images and videos is realized by constructing a multi-modal AI analysis engine, and the accuracy of content understanding and risk identification is greatly improved; accurate risk classification is realized by establishing a grading risk label system, and a scientific basis is provided for supervision decision making; and finally, by generating an intelligent supervision report and establishing a real-time monitoring early warning mechanism, a comprehensive and visual supervision analysis tool is provided for supervisors, and the supervision efficiency and effect are remarkably improved. Meanwhile, by adopting a ReAct reasoning framework, the system can perform multi-step reasoning analysis and perform comprehensive judgment in combination with analysis results of texts, images and videos, so that the limitation of single-modal analysis is avoided, and the accuracy and reliability of risk identification are improved.

The invention relates to the technical field of computer graphics and digital content generation, and discloses a programmed digital plant growth simulation method and system. The method comprises the following steps: firstly, carrying out skeletal preprocessing on an input three-dimensional plant model, extracting a point sequence through an iterative algorithm based on a plane starting point, and constructing a hierarchical skeletal system; then, a growth path and a form rule are defined by using the nodal visual special effect graph; then, adopting a physically guided skeleton spreading algorithm, and controlling natural bending growth of the skeleton through vector force; and finally, performing multi-platform rendering output adaptation, and generating special effect resources compatible with a game engine and a film and television rendering pipeline. According to the technical scheme, high-efficiency and high-precision programmed plant growth simulation is achieved, and the technical bottleneck of a traditional method in the aspects of natural form spreading and artistic control is solved.

The invention discloses a live broadcast interactive game role management system based on cross-platform Token verification, and belongs to the technical field of network games. Comprising a Token verification module, a bullet screen processing module, a role management module, a data synchronization module, a game logic module and a platform interface module. Through an innovative Token verification mechanism, seamless synchronization of role data among three different platforms including a WeChat applet / chattering applet playing method, a live broadcast platform and a game client is realized; a live broadcast platform bullet screen is used as a data transmission channel, and an interaction mode of adding an applet role into any live broadcast room game match is realized; by establishing a real-time data synchronization system among multiple platforms, role states are ensured to be kept consistent in all platforms; a traditional anchor unilateral game is converted into an interactive game mode in which audiences can participate, the technical problems that in the prior art, platforms are split, roles are difficult to manage, and the real-time performance is poor are solved, and the game participation threshold is lowered.

This invention belongs to the field of video promotion and mainly relates to an AI-based cross-platform video promotion system. This system uses material version records and rule base version records as deterministic benchmarks to support versioned management and reproducible execution when the same promotional campaign is launched on multiple platforms in parallel. It performs unpacking and parsing of original materials, extracts text, and solidifies content fingerprints; it structurally merges the review constraints of each platform and generates a rule base version; it generates release versions for each platform according to the rule base version and performs multimodal compliance review; after approval, it submits to the platform and solidifies the release receipt to form a release ledger; it reads back the actual presented copy on the platform and verifies its consistency with the released version, supporting random checks, dispute evidence collection, and audit archiving; it monitors changes in laws and regulations and updates the system rule base in real time; and it achieves unified versioned management of multi-version materials across platforms, consistency verification of actual presentation after release, and traceable retention of evidence materials.

This application discloses a multi-platform marketing competitor intelligent crawling and analysis method and system. The system includes: a multi-platform adaptation module for automatically identifying and adapting interfaces to multiple heterogeneous data source platforms; an intelligent crawling engine for dynamically configuring network access environment identifiers for heterogeneous data source platforms to collect unstructured data based on the adaptation results; a feature extraction module for automatically extracting competitor feature information with commercial semantics from the collected unstructured data using a pre-trained feature extraction model; and an analysis and decision-making module for performing comparative analysis and trend prediction based on competitor feature information from multiple dimensions including product, market, user, and time, and outputting a decision support report. This application solves the problems of poor adaptability, unstable data collection, high dependence on manual operation, and low efficiency of traditional solutions.

The invention discloses a cross-platform video adaptation response method and system, and belongs to the technical field of video adaptation, and the method specifically comprises the steps: separating an input video audio stream, converting an audio signal into a target language voice and corresponding timestamp subtitle data through a translation model with rhythm maintenance, and transmitting the target language voice and the corresponding timestamp subtitle data to a server; fusing the subtitle data with the video frame, automatically determining a subtitle position based on content area analysis, generating a multi-language subtitle display layer, packaging the multi-language subtitle display layer into a WebM container, performing cross-terminal playing compatibility through adaptive code rate coding, and when the subtitle data is distributed to different terminals, performing cross-terminal playing compatibility on the multi-language subtitle display layer. Performing dynamic adjustment on subtitle synchronization and packaging parameters according to playing feedback, so that video and audio streams are adapted and responded in real time on different platforms; according to the invention, continuous, stable and multi-language compatible video playing can be realized in a multi-platform environment, and the consistency and expandability of contents in cross-device distribution and playing are ensured.