公开(公告)号：US11526512B1

公开(公告)日：2022-12-13

申请号：US16452363

申请日：2019-06-25

Applicant: Amazon Technologies, Inc.

Inventor： Nissim Halabi ,  Natali Arieli ,  Sagi Bernstein ,  Iftah Gamzu ,  Marina Haikin ,  Yochai Zvik

IPC: G06F16/2453 ,  G06F16/2452 ,  G06K9/62 ,  G10L15/16 ,  G06N20/00 ,  G10L15/22 ,  G06F40/289

Abstract: Systems and methods are described for mitigating errors introduced during processing of user input such as voice input. A query may be derived from processed user input. A performance predictor analyzes the query and uses historical data to predict whether the query will return relevant results if executed. If the query's predicted performance is below a threshold, a query rewriter may identify potential alternatives to the query from a library of “known good” queries. Different analyzers may be applied to identify different sets of alternatives, and machine learning models may be applied to rank the outputs of the analyzers. The best-matching alternatives from each analyzer may then be provided as inputs to a further machine learning model, which assesses the probability that each of the identified alternatives reflects the intent of the user. A most likely alternative may then be selected to execute in place of the original query.

公开(公告)号：US12166503B1

公开(公告)日：2024-12-10

申请号：US17655121

申请日：2022-03-16

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Nissim Halabi ,  Noam Touitou

IPC: H03M13/11 ,  H03M13/13

Abstract: Low latency search for nearest neighbors in a dataset containing a large number of entries is improved using an error correction code (ECC) for partitioning data into clusters and retrieval. During initialization and preprocessing a d-dimensional space with clusters corresponding to ECC codewords is specified. Entries in the dataset are embedded into this space and associated with respective codewords, each codeword specifying a cluster. An index associates the codewords, clusters, and entries. During a query of the dataset, a query entry is processed to determine a query embedding in the d-dimensional space. The query embedding is used as input for a list decoder of the ECC. The list decoder provides a set of nearest codewords, with those codewords representing a set of candidate clusters that may contain nearest neighbors. The dataset entries associated with the candidate clusters may then be searched to determine query results comprising specific entries.

公开(公告)号：US12020690B1

公开(公告)日：2024-06-25

申请号：US17489250

申请日：2021-09-29

Applicant: Amazon Technologies, Inc.

Inventor： Iftah Gamzu ,  Marina Haikin ,  Nissim Halabi ,  Yossi Shasha ,  Yochai Zvik ,  Moshe Peretz

IPC: G10L15/08 ,  G06N20/00 ,  G06Q30/0601 ,  G10L21/00

CPC classification number: G10L15/08 ,  G06N20/00 ,  G06Q30/0631 ,  G10L21/00

Abstract: Devices and techniques are generally described for adaptive targeting for voice notifications. In various examples, first data representing a predicted likelihood that a first user will interact with first content within a predefined amount of time may be received. A first set of features including features related to past voice notifications sent to the first user may be determined. A second set of features including features related to interaction with the first content when past voice notifications were sent may be received. A first machine learning model may generate a prediction that a voice notification will increase a probability that the first user interacts with the first content based on the first data, the first set of features, and the second set of features. Audio data comprising the voice notification may be sent to a first device associated with the first content.