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book review: search patterns

Peter Morville and Jeffery Callender
O’Reilly, 2010
Amazon

Data science projects can (very roughly) be divided into two types. The first is a study, aimed at providing quantitative insights to other business units. These typically involve building reports, calculating p-values, and answering product managers’ questions. Fifteen years ago the people doing this were called “statisticians” or “data analysts.” The second type of project feeds directly into customer-facing products. Examples include recommender systems, tagging/classification systems, and search engines.

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how to highlight autocomplete

Apologies to designers and UX researchers, to whom this is probably pretty boring. Like most content on this blog, this post is aimed at data scientists.

The following question caught a couple of my colleagues off guard: If you type “lisb” into Google, how are the predicted searches rendered?