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公开(公告)号：US10754611B2
公开(公告)日：2020-08-25
申请号：US15960285
申请日：2018-04-23
发明人： Priyanka Agrawal , Pankaj S. Dayama , Amit Anil Nanavati , Amrita Saha , Srikanth Govindaraj Tamilselvam
摘要： One embodiment provides a method, including: creating, for a user, a sound desirability index comprising (i) a plurality of sounds and (ii) desirability of the sound to the user with respect to each of the plurality of sounds, wherein the sound desirability index is created in response to the user hearing a sound and the environment of the user when hearing the sound; receiving an audible input within hearing proximity of the user; identifying the current environment of the user; determining the desirability of the audible input to the user by accessing the sound desirability index, and determining the desirability of the audible input based upon a sound in the audible input and the current environment of the user; and modifying a characteristic of at least a portion of the audible input based upon the desirability of the audible input to the user.
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公开(公告)号：US20190197058A1
公开(公告)日：2019-06-27
申请号：US16290682
申请日：2019-03-01
发明人： Priyanka Agrawal , Ayushi Dalmia , Pankaj Satyanarayan Dayama , Vikas Raykar , Amrita Saha , Srikanth Govindaraj Tamilselvam
IPC分类号： G06F16/9032 , G06F16/9035 , G06F16/906
CPC分类号： G06F16/90328 , G06F16/9035 , G06F16/906
摘要： Aspects of the present invention disclose a method, computer program product, and system for recommending an apparel product is provided. The method for recommending an apparel product may include one or more processors identifying a user selection of an apparel product, wherein the apparel product includes information associated with retail websites. The method further includes one or more processors categorizing the apparel product into one or more groupings based upon user preferences, wherein the grouping is based on available versions of the apparel product. The method further includes one or more processors determining current apparel preference information corresponding to the user based on user preferences, fitness application data, health monitoring application data, and user-provided measurements. The method further includes one or more processors determining a recommended garment of the identified user-selected apparel product based on mapping the determined apparel preference information to product specifications of the identified user-selected apparel product.
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3.发明申请公开(公告)号：US20180121429A1
公开(公告)日：2018-05-03
申请号：US15336107
申请日：2016-10-27
发明人： Priyanka Agrawal , Man Chu , Steven M. Pritko , Justin A. Ziniel
IPC分类号： G06F17/30
CPC分类号： G06F16/3326
摘要： A data handling system includes at least two host devices. For a particular search query that is received by a first host device, a preliminary set of search results is therein generated. The first host system maps the query to one or more topics that are representative to the query. The first host system provides topical click data associated with the topic to a machine-learning module located within a second host device that determines a relevancy score of the result utilizing the topical click data. The first host system obtains the relevancy score of the result and re-ranks the order of the result within a set of results based upon the relevancy score.
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公开(公告)号：US11386358B2
公开(公告)日：2022-07-12
申请号：US16386402
申请日：2019-04-17
发明人： Anshul Sheopuri , Binny Rieder , Pooja Arya , Nickle Lamoreaux , Joanna Daly , Saikat Mukhopadhyay , Priyanka Dasgupta , Nandakishore Kambhatla , Aditya Telang , Priyanka Agrawal
IPC分类号： G06N20/20 , G06N5/02 , G06F16/9035 , G06F16/9032 , G06F40/30
摘要： Various embodiments are provided for implementing intelligent decision support system in a computing environment by a processor. Data of historical decisions may be collected and examples of decisions by domain experts may be generated. One or more machine learning models may be generated using different splits of the historical data and the annotated data. The one or more machine learning models may be combined and used to generate ensemble machine learning models that generate recommendations for the decisions. Users interact with a user interface displaying the data, recommendations, reasons for recommendations and a conversational dialog system for querying about the data, recommendations and guidance for decision making.
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公开(公告)号：US11301640B2
公开(公告)日：2022-04-12
申请号：US16169001
申请日：2018-10-24
发明人： Anush Sankaran , Pranay Lohia , Priyanka Agrawal , Disha Shrivastava , Anirban Laha , Parag Jain
摘要： Methods, systems, and computer program products related to a cognitive assistant for co-generating creative content are provided herein. A computer-implemented method includes obtaining semantic-level inputs from at least one user, wherein the semantic-level inputs pertain to multiple aspects of a desired content narrative; generating textual content based at least in part on the semantic-level inputs, wherein said generating the textual content comprises applying one or more deep learning algorithms to the semantic-level inputs; generating image content based at least in part on the generated textual content; creating the desired content narrative by integrating (i) the generated textual content and (ii) the generated image content; and outputting the desired content narrative to the at least one user.
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公开(公告)号：US11169976B2
公开(公告)日：2021-11-09
申请号：US16438421
申请日：2019-06-11
发明人： Sai Koti Reddy Danda , Pankaj S. Dayama , Priyanka Agrawal , Srikanth Govindaraj Tamilselvam , Amrita Saha
IPC分类号： G06F16/215 , G06F16/2458 , G06F16/27
摘要： An example operation may include one or more of receiving, by a monitoring peer, data collection requirements from a model builder node, querying, by the monitoring peer, a blockchain of a plurality of blockchains for data sets that match the data collection requirements, providing, by the monitoring peer, the data sets to the model builder node to be tested, receiving, by the monitoring peer, a performance feedback on the data sets from the model builder node; and updating, by the monitoring peer, a smart contract associated with the data sets on the blockchain based on the performance feedback.
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公开(公告)号：US10719702B2
公开(公告)日：2020-07-21
申请号：US15806369
申请日：2017-11-08
IPC分类号： G06K9/00
摘要： Embodiments describing an approach to evaluate text and image consistency. Receiving one or more images. Receiving one or more text documents. Identifying relevant text in the one or more text documents. Determining the consistency between the one or more images and the one or more text documents. Creating one or more image and text consistency scores based on the determined consistency between the one or more images and the one or more text documents, and outputting the one or more image and text consistency scores for evaluating text and image consistency.
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8.发明授权公开(公告)号：US10592568B2
公开(公告)日：2020-03-17
申请号：US15336044
申请日：2016-10-27
发明人： Priyanka Agrawal , Man Chu , Steven M. Pritko , Justin A. Ziniel
IPC分类号： G06F16/9535
摘要： For a particular search query that is received by a host system, a preliminary set of search results is generated. The host system maps the query to one or more topics that are representative to the query. The host system provides topical click data associated with the topic to a machine-learning module that determines a relevancy score of the result utilizing the topical click data. The host system re-ranks the order of the result within a set of results based upon the relevancy score.
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9.发明申请公开(公告)号：US20190164205A1
公开(公告)日：2019-05-30
申请号：US15824225
申请日：2017-11-28
摘要： A method for building a user wardrobe profile of an individual user within a group having a group account ID. The method receives purchase transaction data associated with the group account ID data, wherein the purchase transaction data comprises data for one or more wardrobe items. The method further detects, in one or more social media posts of the individual user, an electronic representation of the one or more wardrobe items in the purchase transaction data, and builds the user wardrobe profile of the individual user, based on an association between the purchase transaction data and the electronic representation of the one or more wardrobe items detected in the one or more social media posts of the individual user.
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10.发明申请Determining Groups of Individuals Based on Multiple Items of Individual Transaction Data 审中-公开基于个别交易数据的多项确定个人群体公开(公告)号：US20160078453A1
公开(公告)日：2016-03-17
申请号：US14486189
申请日：2014-09-15
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0201
摘要： Methods, systems, and computer program products for determining groups of individuals based on multiple items of individual transaction data are provided herein. A method includes initializing a customer segment value for each of multiple purchased items identified in a purchase record based on one or more historical purchasing patterns; updating the customer segment value for each of the multiple purchased items based on the customer segment values for the other purchased items identified in the purchase record; and determining a customer segment composition of a group of individuals associated with the multiple purchased items identified in the purchase record based on the updated customer segment values.
摘要翻译： 本文提供了用于基于多个单独交易数据项来确定个人组的方法，系统和计算机程序产品。 一种方法包括：基于一个或多个历史购买模式来初始化在购买记录中识别的多个购买物品中的每一个的顾客细分值; 基于购买记录中识别的其他购买物品的客户分段值，更新多个购买物品中的每一个的客户细分值; 以及基于更新的客户分段值，确定与所述购买记录中识别的所述多个购买项目相关联的一组个人的客户分段组合。
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