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公开(公告)号:US20210232766A1
公开(公告)日:2021-07-29
申请号:US16773697
申请日:2020-01-27
Applicant: Walmart Apollo, LLC
Inventor: Karun Dhingra , Xiaohu Lei , Yunus Kamal
IPC: G06F40/284 , G06F40/30 , G06F40/216 , G06F17/16
Abstract: A system for short text identification can determine a plurality of topics and a representative noun that identifies each of the topics in a data repository. The system can determine a co-occurrence matrix for the training words stored in the corpus and determine a word vector embedding for each of the training words in the corpus to relate each of the training words in the corpus to other ones of the training words in the corpus in an n-dimensional vector space. The system can determine word tokens for words in short text in documents in the data repository that is separate and distinct from the corpus and determine sentence vectors for short text based on the word vectors in each short text and determine a plurality of topics in the documents based on clustering of sentence vectors, wherein the plurality of topics indicates topics that are predominant in the documents in the data repository.
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公开(公告)号:US20250139648A1
公开(公告)日:2025-05-01
申请号:US18498624
申请日:2023-10-31
Applicant: Walmart Apollo, LLC
Inventor: Jiahao Zhang , Raisa Mukadam , Karun Dhingra
IPC: G06Q30/0202 , G06Q10/087 , G06Q30/0201
Abstract: Examples provide for generating dynamic minimum presentation (MP) values for optimizing fresh item production while reducing system resource usage. An MP engine calculates a monetary level impact of overproduction and underproduction of a fresh item using production-related data, including a shelf life of the fresh item and cost of production. The calculated monetary level impact includes predicted monetary loss from lost sales due to an item going out-of-stock and/or monetary loss from unsold instances of the fresh item where too many instances of the fresh item are prepared. The dynamic MP value is generated based on dynamic data, the item attribute data, and the predicted monetary loss. The dynamic MP value is used to create a production plan recommendation customized at a store-item level for a selected date, thereby enabling optimization of safety stock while minimizing system resource usage consumed in generating MP predictions for fresh items.
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公开(公告)号:US11347944B2
公开(公告)日:2022-05-31
申请号:US16773697
申请日:2020-01-27
Applicant: Walmart Apollo, LLC
Inventor: Karun Dhingra , Xiaohu Lei , Yunus Kamal
IPC: G06F40/20 , G06F40/284 , G06F40/30 , G06F17/16 , G06F40/216
Abstract: A system for short text identification can determine a plurality of topics and a representative noun that identifies each of the topics in a data repository. The system can determine a co-occurrence matrix for the training words stored in the corpus and determine a word vector embedding for each of the training words in the corpus to relate each of the training words in the corpus to other ones of the training words in the corpus in an n-dimensional vector space. The system can determine word tokens for words in short text in documents in the data repository that is separate and distinct from the corpus and determine sentence vectors for short text based on the word vectors in each short text and determine a plurality of topics in the documents based on clustering of sentence vectors, wherein the plurality of topics indicates topics that are predominant in the documents in the data repository.
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