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公开(公告)号:US20250139110A1
公开(公告)日:2025-05-01
申请号:US18903964
申请日:2024-10-01
Applicant: Apple Inc.
Inventor: Santosh SHANKAR , Deepak MURALIDHARAN , Donald M. DINI , Kevin CHITTINAPPILY SEBASTIAN , Kushal Subhash TAYAL , Sean SUCHTER
IPC: G06F16/248 , G06F16/2452
Abstract: Disclosed herein are techniques for providing relevant results for search queries. For example, a method implemented by a server computing device can include the steps of (1) receiving an unstructured query from a client computing device, (2) providing the unstructured query to a first large language model (LLM) to produce a plurality of structured queries, (3) for each structured query of the plurality of structured queries: (i) identifying, based on at least one aspect of the structured query, respective one or more knowledge sources to produce respective results for the structured query, and (ii) providing the structured query to the respective one or more knowledge sources to produce the respective results, (4) aggregating the results to produce aggregated results, (5) providing the aggregated results to a second LLM to produce filtered results, and (6) causing the client computing device to display at least a portion of the filtered results.
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公开(公告)号:US20190236130A1
公开(公告)日:2019-08-01
申请号:US16012531
申请日:2018-06-19
Applicant: Apple Inc.
Inventor: Lin LI , Deepak MURALIDHARAN , Xiao YANG , Justine KAO , Lavanya COLINJIVADI VISWANATHAN , Mubarak Ali Seyed IBRAHIM , Ashish GARG
Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process receives natural language input and determines a first and a second parsing result for the natural language input. The first and the second parsing results include respective mappings of one or more properties of a domain corresponding to the natural language input to one or more words of the natural language input. The process determines whether the second parsing result corresponds to a data item in a knowledge base, and in accordance with determining that the second parsing result corresponds to the data item in the knowledge base, the process ranks the second parsing result higher than the first parsing result. Based on the ranking, the process generates a task flow using the second parsing result and executes the task flow to provide an output based on the data item.
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