公开(公告)号：US11366855B2

公开(公告)日：2022-06-21

申请号：US16697948

申请日：2019-11-27

Applicant: Amazon Technologies, Inc.

Inventor： Jean-Pierre Dodel ,  Zhiheng Huang ,  Xiaofei Ma ,  Ramesh M. Nallapati ,  Krishnakumar Rajagopalan ,  Milan Saini ,  Sudipta Sengupta ,  Saurabh Kumar Singh ,  Dimitrios Soulios ,  Ankit Sultania ,  Dong Wang ,  Zhiguo Wang ,  Bing Xiang ,  Peng Xu ,  Yong Yuan

IPC: G06F16/00 ,  G06F16/901 ,  G06N3/04 ,  G06F16/2457 ,  G06F16/903

Abstract: Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; determining one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query; and returning one or more of the top ranked passage and the proper subset of documents.

公开(公告)号：US11475067B2

公开(公告)日：2022-10-18

申请号：US16698080

申请日：2019-11-27

Applicant: Amazon Technologies, Inc.

Inventor： Cicero Nogueira Dos Santos ,  Xiaofei Ma ,  Peng Xu ,  Ramesh M. Nallapati ,  Bing Xiang ,  Sudipta Sengupta ,  Zhiguo Wang ,  Patrick Ng

IPC: G06F40/30 ,  G06F16/9032 ,  G06K9/62 ,  G06F16/9038 ,  G06N20/00 ,  G06F16/903 ,  G06F16/93 ,  G06F40/20

Abstract: Techniques for generation of synthetic queries from customer data for training of document querying machine learning (ML) models as a service are described. A service may receive one or more documents from a user, generate a set of question and answer pairs from the one or more documents from the user using a machine learning model trained to predict a question from an answer, and store the set of question and answer pairs generated from the one or more documents from the user. The question and answer pairs may be used to train another machine learning model, for example, a document ranking model, a passage ranking model, a question/answer model, or a frequently asked question (FAQ) model.

公开(公告)号：US20230316373A1

公开(公告)日：2023-10-05

申请号：US17697617

申请日：2022-03-17

Applicant: Amazon Technologies, Inc.

Inventor： Peng Xu

IPC: G06F16/9535 ,  G06Q30/06 ,  G06F16/9538

CPC classification number: G06Q30/0631 ,  G06F16/9535 ,  G06F16/9538 ,  G06Q30/0641

Abstract: Systems, devices, and methods are provided for facet-based context-aware user interfaces. A system such as an online purchasing system may determine one or more intent contexts based at least in part on one or more user interactions with an online purchasing system associated with a first product. A list of substitute products may be determined based on the intent context and facets associated with the substitute products to provide for a diversity of dimensions along which a user can explore different products.