DYNAMICALLY ADAPTING FULFILLMENT OF A GIVEN SPOKEN UTTERANCE BASED ON A USER THAT PROVIDED THE GIVEN SPOKEN UTTERANCE

    公开(公告)号:US20250006204A1

    公开(公告)日:2025-01-02

    申请号:US18885046

    申请日:2024-09-13

    Applicant: GOOGLE LLC

    Abstract: Implementations described herein relate to determining how to fulfill a spoken utterance based on a user that provided the spoken utterance. For example, implementations can receive a spoken utterance from a user, determine a set of fulfillment actions for the spoken utterance, and determine whether the user that provided the spoken utterance corresponds to a first user or a second user. Further, and in response to determining that the user corresponds to the first user, implementations can select a subset of first fulfillment action(s) from the set, and cause the subset of first fulfillment action(s) to be implemented to satisfy the spoken utterance. Moreover, and in response to determining that the user corresponds to the second user, implementations can select a subset of distinct, second fulfillment action(s) from the set, and cause the subset of second fulfillment action(s) to be implemented to satisfy the spoken utterance.

    Locating meaningful stopwords or stop-phrases in keyword-based retrieval systems

    公开(公告)号:US10452718B1

    公开(公告)日:2019-10-22

    申请号:US15787276

    申请日:2017-10-18

    Applicant: Google LLC

    Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.

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