公开(公告)号：US11899700B1

公开(公告)日：2024-02-13

申请号：US17068410

申请日：2020-10-12

Applicant: Amazon Technologies, Inc.

Inventor： Sungro Yoon ,  Soo-Min Pantel ,  Opeyemi Akanji ,  Vivek Kumar

IPC: G06F16/33 ,  G06F16/28

CPC classification number: G06F16/3334 ,  G06F16/288 ,  G06F16/3349

Abstract: A search results user interface enables a user conducting a search of an electronic catalog to identify and access browse nodes (item categories) associated with the search query when the search query is determined to be broad. In one embodiment, if the catalog items that are responsive to the search query fall within more than a threshold number of browse nodes, a search results page is presented that provides functionality for the user to view the browse nodes associated with the search query and to navigate to associated browse node pages.

公开(公告)号：US11748413B1

公开(公告)日：2023-09-05

申请号：US16906388

申请日：2020-06-19

Applicant: Amazon Technologies, Inc.

Inventor： Sungro Yoon ,  Pranav Varia ,  Soo-Min Pantel ,  Daniel Lloyd

IPC: G06F16/00 ,  G06F16/9032 ,  G06F16/2457 ,  G06F16/9535 ,  G06F16/9538

CPC classification number: G06F16/90324 ,  G06F16/24578 ,  G06F16/90332 ,  G06F16/9535 ,  G06F16/9538

Abstract: Devices and techniques are generally described for generating personalized search query suggestions. In some examples, a first search query entered by a user into a search field may be determined. A first keyword associated with the first search query may be determined based at least in part on past interactions of the user with content. In various examples, first string data comprising at least a portion of the first search query and the first keyword may be generated. A data store may be searched using the first string data. A first suggested search string associated with the first string data may be determined. In some examples, the first suggested search string may be displayed on a display in association with the search field.

公开(公告)号：US11386456B1

公开(公告)日：2022-07-12

申请号：US17111240

申请日：2020-12-03

Applicant: Amazon Technologies, Inc.

Inventor： Jack Lightbody ,  Charles Lawrence Scott ,  Brett Patrick Canfield ,  Zheng Zheng Xing ,  Daniel Lloyd ,  Soo-Min Pantel ,  Byung Ju Lee ,  Seong Jin Park

IPC: G06Q30/02 ,  G06N20/00 ,  G06Q30/06

Abstract: Systems and methods are described for analyzing one or more online shopping missions to determine an estimated stage of a user within the mission and to adjust content for display to the user based on the estimated stage of the user within the mission. The estimated stage of the user within the mission may be determined using a model, such as a machine learning model, that accepts as input signals corresponding to the online shopping mission. The signals may represent user interface interactions and/or other data relating to the user and the mission.

公开(公告)号：US11282124B1

公开(公告)日：2022-03-22

申请号：US16403029

申请日：2019-05-03

Applicant: Amazon Technologies, Inc.

Inventor： Sungro Yoon ,  Soo-Min Pantel ,  Pranav Varia ,  Opeyemi Akanji ,  Daniel Lloyd

IPC: G06Q30/00 ,  G06Q30/06 ,  G06F16/33

Abstract: Systems and methods are provided for electronic catalog user experience improvements based on extracted item attributes. An example method includes obtaining information identifying items viewed during a user browsing session, the items being included in an electronic catalog, and the electronic catalog being organized according to a hierarchy, with the hierarchy comprising a plurality of categories. Information identifying attributes associated with the identified items is identified, and the attributes are ranked according to attribute relevance score. Items are determined for recommendation to the user based on the ranked attribute relevance scores, with the determined items being selected from items included in the electronic catalog which are also associated with a same category as the identified items.

公开(公告)号：US11080596B1

公开(公告)日：2021-08-03

申请号：US15623291

申请日：2017-06-14

Applicant: Amazon Technologies, Inc.

Inventor： Roshan Harish Makhijani ,  Soo-Min Pantel ,  Sanjeev Jain ,  Gaurav Chanda

IPC: G06N3/08 ,  G06N5/04 ,  G06F7/523 ,  G06N3/04

Abstract: The present disclosure is directed to filtering co-occurrence data. In one embodiment, a machine learning model can be trained. An output of an intermediate structure of the machine learning model (e.g., an output of an internal layer of a neural network) can be used as a representation of an event. Similarities between representations of events can be determined and used to generate, augment, or modify co-occurrence data.