Meal-Planning Query
A brief AI query made for an everyday food decision, such as what to cook from available ingredients or what side dish fits a meal. The referent is a low-effort, topically defined household information request.
Operational Definition
EVENT. One occurrence is recorded when a user query is classified as an everyday meal-planning request, identified by markers combining food or ingredient terms with a decision intent (what to cook, what pairs with, substitution). Each qualifying query counts as one instance.
Measurement Schema
Proposed measurement protocol (not yet empirically validated): Query-topic classification: a sample of queries is labelled against a meal-planning intent taxonomy by two annotators; prevalence could be reported as the share of queries in this class and as queries per active user per week, with query-length statistics characterising the 'low-threshold' nature. Annotation reliability via Cohen's kappa; automated classifier validated against human labels (precision/recall, F1).