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Papers on Computational Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).

Meta Ads (Facebook/Instagram) MCP server for Claude, ChatGPT, Perplexity & Cursor — the Meta node of Pipeboard’s 5-platform family (+ Google, TikTok, Snap, Reddit). Hosted remote MCP, badged Meta Business Partner, free plan — no self-hosting required.

MCP server for Google Ads, Meta Ads & GA4 — works with ChatGPT, Claude, Cursor, n8n, Windsurf & more. 250+ tools for campaign management, analytics & optimization.

World-class creative director in a skill. Methodology-driven ideation (SIT, TRIZ, Lateral Thinking, bisociation) + a Cannes Lions evaluation engine, powered by a library of 571 legendary award-winning cases.

A PyTorch-based toolkit for natural language processing

Curated, original high-craft prompts for AI video ads (Seedance 2.0 / Veo 3 / Kling / Runway). Companion to HeyDreaming.

Easily generate and translate captivating product descriptions using product features and additional sources of information like customer reviews or usage instructions.

Advertising prompt agent for Image2: turns business briefs and reference images into debranded, production-ready image prompts.

Multimodal dataset for ad text generation in Japanese [Mita+, ACL2024]