wzhe06/Ad-papers resource

Health v2 · maintenance only

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4397 stars · 1185 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of academic papers, tutorials, and industry resources on computational advertising, including CTR prediction, embedding methods, bidding strategies, and optimization. It is a reading list maintained by Wang Zhe rather than runnable software.

Use cases

• find papers on computational advertising
• learn about CTR prediction models like DIN and DIEN
• study real-time bidding and budget control research
• find machine learning tutorials for ad tech
• research embedding methods for search ranking and recommendations

When to choose

• you want a curated reading list of computational advertising papers
• you are studying CTR prediction or ad system design
• you need references for recommender systems and ad tech research

When to avoid

• you need runnable code or a library
• you want actively updated content (last updated 2021)
• you need production advertising tools

Facets

learning-resource · maturity maintenance

machine-learning deep-learning data-science machine-learning tutorials cross-platform papers computational-advertising ctr-prediction awesome-list reading-list recommender-systems advertising

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For agents

markdown · JSON · MCP: product_card(name="wzhe06/Ad-papers")