GENERATING KEYWORDS BY ASSOCIATIVE CONTEXT WITH INPUT WORDS

    公开(公告)号:US20220058690A1

    公开(公告)日:2022-02-24

    申请号:US17520387

    申请日:2021-11-05

    Applicant: eBay Inc.

    Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

    Generating keywords by associative context with input words

    公开(公告)号:US11216844B2

    公开(公告)日:2022-01-04

    申请号:US16895991

    申请日:2020-06-08

    Applicant: eBay Inc.

    Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

    GENERATING KEYWORDS BY ASSOCIATIVE CONTEXT WITH INPUT WORDS

    公开(公告)号:US20200302479A1

    公开(公告)日:2020-09-24

    申请号:US16895991

    申请日:2020-06-08

    Applicant: eBay Inc.

    Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

    Generating keywords by associative context with input words

    公开(公告)号:US11769173B2

    公开(公告)日:2023-09-26

    申请号:US17520387

    申请日:2021-11-05

    Applicant: eBay Inc.

    CPC classification number: G06Q30/0256 G06F16/00 G06Q30/0601

    Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

    GENERATING KEYWORDS BY ASSOCIATIVE CONTEXT WITH INPUT WORDS

    公开(公告)号:US20180285928A1

    公开(公告)日:2018-10-04

    申请号:US15472982

    申请日:2017-03-29

    Applicant: eBay Inc.

    CPC classification number: G06Q30/0256 G06F16/00 G06Q30/0601

    Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

    Generating keywords by associative context with input words

    公开(公告)号:US12190351B2

    公开(公告)日:2025-01-07

    申请号:US18235040

    申请日:2023-08-17

    Applicant: eBay Inc.

    Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

    GENERATING KEYWORDS BY ASSOCIATIVE CONTEXT WITH INPUT WORDS

    公开(公告)号:US20230394526A1

    公开(公告)日:2023-12-07

    申请号:US18235040

    申请日:2023-08-17

    Applicant: eBay Inc.

    CPC classification number: G06Q30/0256 G06Q30/0601 G06F16/00

    Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

    Generating keywords by associative context with input words

    公开(公告)号:US10699302B2

    公开(公告)日:2020-06-30

    申请号:US15472982

    申请日:2017-03-29

    Applicant: eBay Inc.

    Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

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