Enhanced search autocompletion framework

    公开(公告)号:US12259916B1

    公开(公告)日:2025-03-25

    申请号:US18331468

    申请日:2023-06-08

    Abstract: Systems and techniques are disclosed for determining relevant search query autocompletions for presentation to a user that has entered a prefix into a search application interface. A target search space represented as a knowledge graph may be searched to generate a subgraph of nodes representing autocompletion candidates that correspond to the prefix. Further historical and/or interaction data associated with the user and/or other users of the search application may be used to detemir additional autocompletion candidates. A machine-learned model may be trained to score and rank the candidates based on embeddings extracted by the model for the autocompletion candidates. A listing of the autocompletion candidate ordered based on the scores may be presented as autocompletion suggestions to the user.

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