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公开(公告)号：US20220237480A1
公开(公告)日：2022-07-28
申请号：US17157832
申请日：2021-01-25
Applicant: salesforce.com, inc.
Inventor： Yang Zhang
Abstract: Methods, systems, and devices for data processing are described. According to the techniques described herein, a sequential model may be trained using data of different modalities to be used for event recommendation or prediction for an entity or attendee of a future event. Encoders may be used to encode entity data and event data of different data types, and the encoded data may be used to generate vectors for input to a multimodal Transformer. A segment mask may be generated for each of a set of vectors corresponding to the entity and a set of vectors corresponding to an event sequence associated with the entity. The segment masks and sets of vectors may be used to generate embeddings to train the sequential model.
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公开(公告)号：US20210117773A1
公开(公告)日：2021-04-22
申请号：US16658327
申请日：2019-10-21
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Yang Zhang
Abstract: Systems, device and techniques are disclosed for training data generation for visual search model training. A catalog including catalog entries which may include images of an item and data about the item may be received. Labels may be applied to the images of the items based on the data about the items. The images of the items may be sorted into clusters using cluster analysis on the labels. Each cluster may include labels as categories of the cluster. Additional images may be received based on searching for the categories. Generative adversarial network (GAN) training data sets may be generated from the images of the items, the additional images, and the categories. GANs may be trained with the GAN training data sets. The GANs may generate images including images of generated items, which may be replaced with images of items from the catalog entries to create feature model training images.
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公开(公告)号：US11816431B2
公开(公告)日：2023-11-14
申请号：US16846338
申请日：2020-04-12
Applicant: salesforce.com, inc.
Inventor： Yang Zhang
IPC: G06F40/274 , G06F40/30 , G06N3/088
CPC classification number: G06F40/274 , G06F40/30 , G06N3/088
Abstract: Computer implemented method and a system for auto completion of text based on the context associated with the text. The computer implemented method includes steps of receiving input text, identifying a certain context associated with the input text from multiple predefined contexts, by feeding the input text into a context-prediction component of a machine learning model that predicts the certain context, selecting a certain context-specific component of the machine learning model from multiple context-specific components according to the identified certain context, feeding the input text into the selected context-specific component that outputs autocomplete text associated with the identified certain context. The context-specific components are each trained to generate autocompleted text associated with a respective context pre-defined for the respective context-specific component.
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公开(公告)号：US11727463B2
公开(公告)日：2023-08-15
申请号：US16594257
申请日：2019-10-07
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Yang Zhang
IPC: G06Q30/00 , G06Q30/0601 , G06T7/11 , G06T7/70
CPC classification number: G06Q30/0631 , G06Q30/0643 , G06T7/11 , G06T7/70
Abstract: Systems and methods are provided for receiving an image that includes a clothed person, determining a pose of the person in the image, and segmenting the image into one or more first fashion items. One or more second fashion items may be determined using a similarity search that searches at least one storage device communicatively coupled to the server based on the one or more first fashion items. At least one outfit proposal may be generated based on the one or more second fashion items. Image re-stylization of corresponding portions of the image may be performed, including the clothed person to generate recommended outfit images based on the at least one outfit proposal. The generated outfit images may be transmitted for display.
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公开(公告)号：US11663642B2
公开(公告)日：2023-05-30
申请号：US16594241
申请日：2019-10-07
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Yang Zhang
IPC: G06Q30/06 , G06K9/62 , G06T7/90 , G06Q30/0601 , G06N3/04 , G06N3/08 , G06F16/535 , G06T7/194 , G06F18/22
CPC classification number: G06Q30/0625 , G06F16/535 , G06F18/22 , G06N3/04 , G06N3/08 , G06T7/194 , G06T7/90 , G06T2207/20081 , G06T2207/20084
Abstract: Systems and methods are provided for receiving at least a first query color, and searching an electronic catalog including a plurality of product images for the first query color to determine a similarity measure between the first query color and a product image of a plurality of product images. The similarity measure may be determined by determining a Euclidean distance between values in a three-dimensional color space for the first query color and a target color of the product image, and determining the similarity measure between the query color and the product image by determining a sum of the similarity measures from all target colors on the product image, weighted by the coverage of each target color. The search results may be transmitted based on the searching of the electronic catalog including the plurality of product images for the first query color.
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Patent Agency Ranking
公开(公告)号：US20220027562A1
公开(公告)日：2022-01-27
申请号：US16935149
申请日：2020-07-21
Applicant: salesforce.com, inc.
Inventor： Yang Zhang , Jason Paul Kovalski
IPC: G06F40/30 , G06N3/08 , G06N3/04 , G06F40/284 , G06F3/0481
Abstract: A system models web content including learning resources available on a website, and makes suggestions of potentially useful learning resources when a user highlights text of interest within the website. In order to facilitate these suggestions, a neural network-based system is trained on learning resources and other content available on the website to create a common word embedding for learning resources and other website text. A student model may then be created to facilitate real time or near real time suggestions of relevant learning resources in response to selections of text from the website.
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公开(公告)号：US20210118024A1
公开(公告)日：2021-04-22
申请号：US16658315
申请日：2019-10-21
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Yang Zhang
Abstract: Systems, device and techniques are disclosed for multi-label product categorization. A catalog entry and a list of categories may be received. The catalog entry may be associated with an item. A textual description may be generated by comparing words in the catalog entry to existing vocabularies of words and applying part-of-speech tagging to the catalog entry. A feature vector may be generated from the textual description by applying any of token frequency feature creation, term frequency-inverse document frequency feature creation, and pre-trained word embeddings to the textual description. A set of probabilities may be determined by inputting the feature vector into a machine learning model. The set of probabilities may include a probability for each category in the list of categories.
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公开(公告)号：US11354515B2
公开(公告)日：2022-06-07
申请号：US16935149
申请日：2020-07-21
Applicant: salesforce.com, inc.
Inventor： Yang Zhang , Jason Paul Kovalski
IPC: G06F40/30 , G06N3/08 , G06F3/0481 , G06F40/284 , G06N3/04
Abstract: A system models web content including learning resources available on a website, and makes suggestions of potentially useful learning resources when a user highlights text of interest within the website. In order to facilitate these suggestions, a neural network-based system is trained on learning resources and other content available on the website to create a common word embedding for learning resources and other website text. A student model may then be created to facilitate real time or near real time suggestions of relevant learning resources in response to selections of text from the website.
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公开(公告)号：US20210103970A1
公开(公告)日：2021-04-08
申请号：US16594257
申请日：2019-10-07
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Yang Zhang
Abstract: Systems and methods are provided for receiving an image that includes a clothed person, determining a pose of the person in the image, and segmenting the image into one or more first fashion items. One or more second fashion items may be determined using a similarity search that searches at least one storage device communicatively coupled to the server based on the one or more first fashion items. At least one outfit proposal may be generated based on the one or more second fashion items. Image re-stylization of corresponding portions of the image may be performed, including the clothed person to generate recommended outfit images based on the at least one outfit proposal. The generated outfit images may be transmitted for display.
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公开(公告)号：US20210103969A1
公开(公告)日：2021-04-08
申请号：US16594241
申请日：2019-10-07
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Yang Zhang
Abstract: Systems and methods are provided for receiving at least a first query color, and searching an electronic catalog including a plurality of product images for the first query color to determine a similarity measure between the first query color and a product image of a plurality of product images. The similarity measure may be determined by determining a Euclidean distance between values in a three-dimensional color space for the first query color and a target color of the product image, and determining the similarity measure between the query color and the product image by determining a sum of the similarity measures from all target colors on the product image, weighted by the coverage of each target color. The search results may be transmitted based on the searching of the electronic catalog including the plurality of product images for the first query color.
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