Generative Search Ads Split Relevance, CTR and Revenue
A Meituan paper reports a seven-day test of objective-specific generative ad retrieval, with separate relevance, click and commercial policies.
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A Meituan paper reports a seven-day test of objective-specific generative ad retrieval, with separate relevance, click and commercial policies.
An audit of GPT, Claude and Gemini found that responses to the same Ukraine-war statement bank varied across 112 language and script conditions.
We ran the portable Algebraic Retrieval suite and verified its receipt hash. The full 11,429-document Java fixture remains outside this local test.
A 171,264-conversation study shows that four AI platforms differ at every search stage, from deciding to browse through selecting citations.
A new GMMM preprint connects generated-answer inclusion, question volume, system use and notice probability, but its empirical demonstration is simulated.
Chrome added four experimental ad metrics to CrUX. We measured a fixed publisher panel and found why count, density, CPU and network weight need separate diagnoses.
A 30,000-output study finds retrieval drives most variation while Reddit Answers favors early, top-level and more formal comments in its selected evidence.
Google researchers report that Retrieve-for-Train generated ten retrieval directions 12× to 20× faster in fashion and music benchmarks, while the diffusion model traded some recall for greater diversity.
A 190-million-document benchmark shows why retrieval recall, unique evidence coverage and downstream citations must be measured separately.
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