Online services provide recipe recommendations to users on a variety of endpoint devices. When recipe recommendations are provided based on a user’s long-term preferences, such recommendations may not be best suited to the user’s current context. This disclosure describes techniques to provide context-aware recipe recommendations when users provide permission to determine the context. Context determination can include, e.g., analysis of recent user queries to a virtual assistant or a search engine to identify triggering queries that are associated with food. A machine learning model is used to map queries to user intent. Recipes associated with the determined user intent are retrieved and provided to the user.
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Li, William and Gera, Amit, "Contextual recipe recommendations", Technical Disclosure Commons, (November 13, 2019)