Creating Search Quality Algorithms - Richard Lawrence - BrightonSEO.pdf

Richard Lawrence discusses how to create your own search quality evaluation algorithms by following Google's process. He explains that Google likely uses human raters to label content quality, then finds features that distinguish high and low quality content to build ranking algorithms. Lawrence proposes doing the same by labeling a sample of content, then using NLP models or multivariate techniques to build algorithms that measure how well content meets a search query's intent ("Needs Met") or achieves overall page quality. Creating such algorithms provides a way to evaluate content quality at scale.