Multimedia Service Data Table Row Segmentation for Storage Capacity

The patent divides the advertisement data table into multiple rows, with each row capable of storing a portion of the material data and links. This segmentation allows the system to accommodate excessive material data by distributing it across multiple rows, thereby increasing the overall storage capacity while maintaining a simple and organized data structure.

The patent merges duplicate material data by storing it in a single location within the advertisement data table. When the same material data is referenced by multiple advertisements, it is uploaded once and then referenced by multiple rows through shared identifiers or links. This combining approach maintains data integrity while significantly improving upload efficiency and reducing resource waste.

The patent implements preliminary filtering and selection of advertisement data before pushing to clients. Instead of pushing all accumulated historical data, the system pre-processes the data to identify and prioritize relevant advertisements based on user profiles, behavior patterns, and engagement metrics. This preliminary action ensures that only high-quality, relevant advertisements are delivered, maintaining high click-through rates while preserving timely delivery.

The patent applies partial action by pushing only a subset of the accumulated advertisement data to each client, rather than all data. The system selectively pushes advertisements that are most relevant to each user based on filtering criteria, user preferences, and engagement probability. This approach ensures sufficient data completeness for effective advertising while minimizing traffic waste and improving user experience by avoiding information overload.