Obtaining restaurant information requires users to visit a restaurant website or a restaurant listing website or app. Accessing specific information such as menu options, operating hours, calorie counts of specific dishes, etc. requires users to navigate websites or apps in search of such information. There are no easy techniques to access such information in a single place or while engaged in activities such as driving, gardening, etc. where the users’ hands are engaged. This disclosure describes a virtual assistant that can provide specific responses to queries regarding restaurants, e.g., issued via voice. The virtual assistant builds a database of information regarding restaurants by accessing restaurant websites or third-party listings and parsing text and images obtained. The parsing is performed using semantic techniques such that the database includes answers to questions in different categories. Upon receiving a user query, the virtual assistant provides a response based on the stored information.
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Arriaga, Emmanuel, "Virtual assistant for restaurants", Technical Disclosure Commons, (May 06, 2019)