RECOMMENDATION ENGINE FOR UPSELLING IN RESTAURANT ORDERS

    公开(公告)号:US20220165272A1

    公开(公告)日:2022-05-26

    申请号:US17667535

    申请日:2022-02-08

    Abstract: A computer-implemented method is provided to support a food ordering system for food items from a menu of a restaurant using natural language. Expressions made for ordering are used to recommend a food item that a user has a high probability of wanting to include in an order. The recommendation engine is trained using machine learning. Expressions are collected and parsed to identify words that might indicate food items offered by the restaurant. The words are provided to a restaurant owner to identify food items on a menu, with which the words are associated.

    REAL-TIME NATURAL LANGUAGE PROCESSING AND FULFILLMENT

    公开(公告)号:US20240161737A1

    公开(公告)日:2024-05-16

    申请号:US18055821

    申请日:2022-11-15

    CPC classification number: G10L15/1815 G06F3/167 G06F40/30 G10L15/22

    Abstract: A system and method of real-time feedback confirmation to solicit a virtual assistant response from an evolving semantic state of at least a portion of an utterance. A user accesses a virtual assistant on an electronic device having the system and/or method configured to capture a command, a question, and/or a fulfillment request from audio such as, the speech emitted from the speaking user. The speech may be intercepted by a speech engine configured to transcribe the speech into text that is matched with the fragment pattern's regular expression to generate a fragment and/or the speech may be processed with a machine learning model to identify fragments. The fragments are identified by a domain handler configured to update a data structure of the current semantic state of the utterance in real-time on an interface of an electronic device.

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