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公开(公告)号：US11276104B1
公开(公告)日：2022-03-15
申请号：US16999845
申请日：2020-08-21
Applicant: salesforce.com, inc.
Inventor： Joshua Correa , Alexander Kushkuley
Abstract: A group of recommendations related to an item, such as an item of content presented to a user in a page, can be ranked according to a probability distribution that is iteratively updated with each user interaction. For practical implementations, a click stream of interactions may be logged, and then applied in a batch process to update the probability distribution on any suitable schedule independent of the timing of incoming user interactions.
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公开(公告)号：US20220058713A1
公开(公告)日：2022-02-24
申请号：US16999845
申请日：2020-08-21
Applicant: salesforce.com, inc.
Inventor： Joshua Correa , Alexander Kushkuley
Abstract: A group of recommendations related to an item, such as an item of content presented to a user in a page, can be ranked according to a probability distribution that is iteratively updated with each user interaction. For practical implementations, a click stream of interactions may be logged, and then applied in a batch process to update the probability distribution on any suitable schedule independent of the timing of incoming user interactions.
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Patent Agency Ranking
公开(公告)号：US10789293B2
公开(公告)日：2020-09-29
申请号：US15905127
申请日：2018-02-26
Applicant: salesforce.com, Inc.
Inventor： Alexander Kushkuley , Bharath K. Krishnan
IPC: G06F16/00 , G06F16/901 , G06F16/33 , G06F16/36 , G06F16/9038 , G06F16/9535
Abstract: A method of filtering content from a data set includes accepting a search request directed to a data set associated with a site, the search request including a search term that is not among terms represented in a site-specific lookup table representing site-specific relatedness of terms in that data set, such related terms including any of synonyms, hypernyms and hyponyms; generating an approximating lookup table by applying a transformation function to a corpus lookup table, the corpus lookup table representing relatedness, in a general corpus, of terms in the data set; identifying terms represented in the approximating lookup table that are related terms of the search term; and filtering from the data set digital content that includes any of the search term and the terms identified from the approximating table as related terms of the search term.
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公开(公告)号：US20230245206A1
公开(公告)日：2023-08-03
申请号：US17589657
申请日：2022-01-31
Applicant: salesforce.com, inc.
Inventor： Joshua Correa , Alexander Kushkuley
CPC classification number: G06Q30/0631 , G06Q30/0201 , G06F11/3438 , G06F11/3476
Abstract: A method and system for item-to-item recommendation that collects a set of visitors having interacted with at least one product of a website containing a collection of products, creates a click matrix including a collection of per-product visitor sets based on the set of visitors, change a weight value for at least one of the set of visitors, construct a co-view matrix based on determining a product of each of the changed set of visitors for each pair of products of the collection of products, determine a per-product ordered ranking of product pairs based on the co-view matrix, and select a recommended product based on a user selected product and the per-product ordered ranking of product pairs.
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公开(公告)号：US20220343389A1
公开(公告)日：2022-10-27
申请号：US17230257
申请日：2021-04-14
Applicant: salesforce.com, inc.
Inventor： Alexander Kushkuley , Keld Lundgaard , Cameron Wolfe
Abstract: Methods, computer readable media, and devices for estimating product attribute preferences are disclosed. One method may include identifying a set of users, a set of products offered to users of the set of users, and a set of product attributes associated with products in the set of products, creating a product embedding matrix, an attribute embedding matrix, a user interaction matrix, a product attribute matrix, and a user attribute matrix, assigning an attribute weight to each product attribute, assigning, for each user, a user attribute weight for each product attribute, and displaying the set of products to a user in a ranked order based on the attribute weights and the user attribute weights assigned to the user.
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公开(公告)号：US20220188900A1
公开(公告)日：2022-06-16
申请号：US17688159
申请日：2022-03-07
Applicant: salesforce.com, inc.
Inventor： Joshua Correa , Alexander Kushkuley
Abstract: A group of recommendations related to an item, such as an item of content presented to a user in a page, can be ranked according to a probability distribution that is iteratively updated with each user interaction. For practical implementations, a click stream of interactions may be logged, and then applied in a batch process to update the probability distribution on any suitable schedule independent of the timing of incoming user interactions.
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公开(公告)号：US20190138659A1
公开(公告)日：2019-05-09
申请号：US15905127
申请日：2018-02-26
Applicant: salesforce.com, Inc.
Inventor： Alexander Kushkuley , Bharath K. Krishnan
IPC: G06F17/30
CPC classification number: G06F16/9017 , G06F16/3338 , G06F16/36 , G06F16/9038 , G06F16/9535
Abstract: A method of filtering content from a data set includes accepting a search request directed to a data set associated with a site, the search request including a search term that is not among terms represented in a site-specific lookup table representing site -specific relatedness of terms in that data set, such related terms including any of synonyms, hypernyms and hyponyms; generating an approximating lookup table by applying a transformation function to a corpus lookup table, the corpus lookup table representing relatedness, in a general corpus, of terms in the data set; identifying terms represented in the approximating lookup table that are related terms of the search term; and filtering from the data set digital content that includes any of the search term and the terms identified from the approximating table as related terms of the search term.
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