arXiv:2606.09896v1 Announce Type: cross Abstract: In modern online advertising platforms, Guaranteed Delivery (GD) contracts coexist and bid with Real-Time Bidding (RTB) auctions. Recent approaches either decouple GD and RTB optimization or rely on heuristic priority rules, and thus fail to effectively balance short-term revenue maximization with long-term contract delivery under complex multi-slot delivery and impression constraints. To address these challenges, we propose HMAF (Hierarchical Multi-Slot Allocation Framework), a unified framework designed to optimize impression allocation in GD
The increasing complexity of online advertising with co-existing GD and RTB systems necessitates more sophisticated allocation frameworks to maximize revenue and ensure contract delivery.
This development offers a more efficient way for online advertising platforms to manage complex ad inventory, potentially improving revenue generation and advertiser satisfaction.
Traditional siloed or heuristic approaches to ad allocation are being replaced by unified, optimized frameworks that can handle multi-slot and impression constraints more effectively.
- · Online advertising platforms
- · Advertisers utilizing GD contracts
- · Digital marketing agencies
- · Ad platforms relying on outdated allocation methods
- · Heuristic-based ad management tools
Online advertising platforms enhance their operational efficiency and revenue through improved impression allocation.
Increased competition among ad platforms as optimization becomes a key differentiator in attracting advertisers.
The development of more sophisticated AI-driven tools for dynamic pricing and inventory management in various digital marketplaces.
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Read at arXiv cs.LG