4 results about "Multi platform" patented technology

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.