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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.
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公开(公告)号：US11580585B1
公开(公告)日：2023-02-14
申请号：US16915201
申请日：2020-06-29
Applicant: Amazon Technologies, Inc.
Inventor： Sneha Rajana , Ben Allison , Xiaonan Zhao , Pranav Varia , Sungro Yoon , Charles Lawrence Scott , Daniel Lloyd
IPC: G06Q30/00 , G06Q30/0601 , G06Q30/0202
Abstract: Disclosed are one or more embodiments for a unique and personalized experience for a user interacting with an electronic commerce site by identifying user-preferred item attributes using supervised machine learning and presenting items to the user in an arrangement that is based on the identified item attributes. A shopping mission is determined according to user interactions with an electronic commerce site. The shopping mission is applied to an attribute prediction model that is trained to detect user-preferred item attributes for items included the item category and estimate a likelihood that an item containing a particular attribute will be purchased or interacted with during the interactions with the electronic commerce site.
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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
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.
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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
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.
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