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1.
公开(公告)号:US11797624B2
公开(公告)日:2023-10-24
申请号:US17696461
申请日:2022-03-16
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Soumya Wadhwa , Surya Prasanna Kumar , Praveenkumar Kanumala , Stephen Dean Guo , Kannan Achan , Rahul Ramkumar
IPC分类号: G06F16/9535 , G06N3/049 , G06F16/903
CPC分类号: G06F16/9535 , G06F16/90344 , G06N3/049
摘要: In some examples, a system may be configured to generate one or more query attributes for a search query received from a computing device of a user. Additionally, the system may be configured to, based at least in part on historical data of the user including data characterizing one or more items associated with the user, generate relevant item data. In various examples, the relevant item data characterizing a set of relevant items. Moreover, the system may be configured to, based on the relevant item data, the historical data of the user and the one or more query attributes, implement a set of operations that generate a set of personalized search results associated with the search query.
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2.
公开(公告)号:US11321406B2
公开(公告)日:2022-05-03
申请号:US16527513
申请日:2019-07-31
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Soumya Wadhwa , Surya Prasanna Kumar , Praveenkumar Kanumala , Stephen Dean Guo , Kannan Achan , Rahul Ramkumar
IPC分类号: G06F16/9535 , G06N3/04 , G10L15/26 , G06Q30/06 , G06F16/903
摘要: A system and method of generating user personalized search results is disclosed. A search query including one or more words is received and a set of relevance-based search results is generated in response to the search query. One or more query attributes are generated for the search query. Historic data for a user associated with the search query is received and a set of personalized search results is generated from the set of relevance-based search results based on the query attributes and the historic data for the user. The historic data includes one or more items associated with the user.
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3.
公开(公告)号:US11663645B2
公开(公告)日:2023-05-30
申请号:US17162422
申请日:2021-01-29
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Victor Anthony Perry, IV , Prashant Chandrakant Saundade , Stephen Dean Guo , Evren Korpeoglu , Kannan Achan , Sandhya Ajit
IPC分类号: G06Q10/00 , G06Q30/0601 , G06Q30/0204 , G06F16/28 , G06F16/2457 , G06N20/00 , G06N5/04 , G06F16/9535
CPC分类号: G06Q30/0631 , G06F16/24578 , G06F16/285 , G06F16/9535 , G06N5/04 , G06N20/00 , G06Q30/0204 , G06Q30/0623 , G06Q30/0633
摘要: A category recommender system includes a computing device configured to obtain customer information characterizing a customer's interactions on an ecommerce marketplace. The computing device is further configured to determine discovery category rankings for each category of items available on the ecommerce marketplace for the customer based on the customer information, determine repeat category rankings for each category of items available on the ecommerce marketplace for the customer based on the customer information, and determine item rankings for each item in the ecommerce marketplace based on the customer information. The computing device is further configured to merge the discovery category rankings, the repeat category rankings and the item recommendation rankings into final recommendations based on one or more predetermined merging criteria and provide the final recommendations to the customer.
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公开(公告)号:US20230162266A1
公开(公告)日:2023-05-25
申请号:US18101269
申请日:2023-01-25
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Shashank Kedia , Anirudha Sundaresan , Shubham Gupta , Praveenkumar Kanumala , Stephen Dean Guo , Kannan Achan
IPC分类号: G06Q30/0601 , G06Q10/087 , G06F16/2457
CPC分类号: G06Q30/0631 , G06Q10/087 , G06F16/24578
摘要: This application relates to apparatus and methods for automatically determining item relevancy based on textual information. In some examples, a computing device receives a search query, and a plurality of items corresponding to the search query. The computing device may identify one or more features of the search query. The computing device may generate relevancy values for each of the items based on the features of the search query, and features of each of the plurality of items. For example, the computing device may generate, for each of the items, a plurality of relevance values, each relevance value generated based on a feature of the search query and corresponding features of the item. The computing device may transmit the generated relevancy values for the plurality of items. In some examples, the computing device may rank the plurality of items based on the generated relevancy values.
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公开(公告)号:US11609919B2
公开(公告)日:2023-03-21
申请号:US16526836
申请日:2019-07-30
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Soumya Wadhwa , Stephen Dean Guo , Kannan Achan
IPC分类号: G06F16/30 , G06F16/2457 , G06F16/9535 , G06F16/22
摘要: This application relates to apparatus and methods for generating preference profiles that may be used to rank search results. In some examples, a computing device obtains browsing session data and determines items that were engaged, such as items that were viewed or clicked. The computing device obtains item property data, such as product descriptions, for the items, and applies a dependency parser to the item property data to identify portions that include certain words, such as nouns or adjectives, which are then identified as attributes. The computing device generates attribute data identifying portions of the item property data as item attributes. In some examples, the computing device applies one or more machine learning algorithms to the session data and/or search query to identify item attributes. The computing device may generate a profile that includes the item attributes, and may rank search results based on the attribute data, among other uses.
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公开(公告)号:US11216519B2
公开(公告)日:2022-01-04
申请号:US16526842
申请日:2019-07-30
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Soumya Wadhwa , Stephen Dean Guo , Kannan Achan
IPC分类号: G06F16/9535 , G06Q30/06 , G06F16/9538 , G06N3/04
摘要: This application relates to apparatus and methods for generating preference profiles that may be used to rank search results. In some examples, a computing device obtains browsing session data and determines items that were engaged, such as items that were viewed or clicked. The computing device obtains item property data, such as product descriptions, for the items, and applies a dependency parser to the item property data to identify portions that include certain words, such as nouns or adjectives, which are then identified as attributes. The computing device generates attribute data identifying portions of the item property data as item attributes. In some examples, the computing device applies one or more machine learning algorithms to the session data and/or search query to identify item attributes. The computing device may generate a profile that includes the item attributes, and may rank search results based on the attribute data, among other uses.
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公开(公告)号:US11907999B2
公开(公告)日:2024-02-20
申请号:US18101269
申请日:2023-01-25
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Shashank Kedia , Anirudha Sundaresan , Shubham Gupta , Praveenkumar Kanumala , Stephen Dean Guo , Kannan Achan
IPC分类号: G06Q30/00 , G06Q30/0601 , G06Q10/087 , G06F16/2457
CPC分类号: G06Q30/0631 , G06F16/24578 , G06Q10/087
摘要: This application relates to apparatus and methods for automatically determining item relevancy based on textual information. In some examples, a computing device receives a search query, and a plurality of items corresponding to the search query. The computing device may identify one or more features of the search query. The computing device may generate relevancy values for each of the items based on the features of the search query, and features of each of the plurality of items. For example, the computing device may generate, for each of the items, a plurality of relevance values, each relevance value generated based on a feature of the search query and corresponding features of the item. The computing device may transmit the generated relevancy values for the plurality of items. In some examples, the computing device may rank the plurality of items based on the generated relevancy values.
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公开(公告)号:US11610249B2
公开(公告)日:2023-03-21
申请号:US17147895
申请日:2021-01-13
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Shashank Kedia , Anirudha Sundaresan , Shubham Gupta , Praveenkumar Kanumala , Stephen Dean Guo , Kannan Achan
IPC分类号: G06Q30/00 , G06Q30/0601 , G06Q10/087 , G06F16/2457
摘要: This application relates to apparatus and methods for automatically determining item relevancy based on textual information. In some examples, a computing device receives a search query, and a plurality of items corresponding to the search query. The computing device may identify one or more features of the search query. The computing device may generate relevancy values for each of the items based on the features of the search query, and features of each of the plurality of items. For example, the computing device may generate, for each of the items, a plurality of relevance values, each relevance value generated based on a feature of the search query and corresponding features of the item. The computing device may transmit the generated relevancy values for the plurality of items. In some examples, the computing device may rank the plurality of items based on the generated relevancy values.
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公开(公告)号:US12019639B2
公开(公告)日:2024-06-25
申请号:US18101188
申请日:2023-01-25
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Soumya Wadhwa , Stephen Dean Guo , Kannan Achan
IPC分类号: G06F16/24 , G06F16/22 , G06F16/2457 , G06F16/9535
CPC分类号: G06F16/24578 , G06F16/22 , G06F16/9535
摘要: This application relates to apparatus and methods for generating preference profiles that may be used to rank search results. In some examples, a computing device obtains browsing session data and determines items that were engaged, such as items that were viewed or clicked. The computing device obtains item property data, such as product descriptions, for the items, and applies a dependency parser to the item property data to identify portions that include certain words, such as nouns or adjectives, which are then identified as attributes. The computing device generates attribute data identifying portions of the item property data as item attributes. In some examples, the computing device applies one or more machine learning algorithms to the session data and/or search query to identify item attributes. The computing device may generate a profile that includes the item attributes, and may rank search results based on the attribute data, among other uses.
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公开(公告)号:US20230161781A1
公开(公告)日:2023-05-25
申请号:US18101188
申请日:2023-01-25
申请人: Walmart Apollo, LLC
发明人: Rahul Iyer , Soumya Wadhwa , Stephen Dean Guo , Kannan Achan
IPC分类号: G06F16/2457 , G06F16/9535 , G06F16/22
CPC分类号: G06F16/24578 , G06F16/9535 , G06F16/22
摘要: This application relates to apparatus and methods for generating preference profiles that may be used to rank search results. In some examples, a computing device obtains browsing session data and determines items that were engaged, such as items that were viewed or clicked. The computing device obtains item property data, such as product descriptions, for the items, and applies a dependency parser to the item property data to identify portions that include certain words, such as nouns or adjectives, which are then identified as attributes. The computing device generates attribute data identifying portions of the item property data as item attributes. In some examples, the computing device applies one or more machine learning algorithms to the session data and/or search query to identify item attributes. The computing device may generate a profile that includes the item attributes, and may rank search results based on the attribute data, among other uses.
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