Patents by Inventor Anjan Goswami
Anjan Goswami has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11755655Abstract: A method is provided for generating a ranked list of candidate responders. In some embodiments, the method includes receiving a question from a user and generating a question feature vector representing an intent of the question and a first skill set inferred from the question. The method also includes for one or more candidate responders, generating a candidate feature vector representing a skill set and questions associated with the respective candidate responder; computing a reputation score based on questions and user feedback associated with the respective candidate responder; and computing, based on the question feature vector, candidate feature vector, and reputation score, a probability score representing a prediction of the quality of an answer that would be provided by the respective candidate responder if the input question were routed to the respective candidate responder. The method further includes generating a ranked list of candidate responders using the computed probability scores.Type: GrantFiled: April 23, 2021Date of Patent: September 12, 2023Assignee: Salesforce, Inc.Inventors: Sitaram Asur, Aditya Sakhuja, Hui S. Fisher, Anjan Goswami, Khoa Le
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Publication number: 20230229692Abstract: A machine may be configured to access an image of an item described by a description of the item. The machine may determine an image quality score of the image based on an analysis of the image. A request for search results that pertain to the description may be received by the machine, and the machine may present a search result that references the item's image, based on its image quality score. Also, the machine may access images of items and descriptions of items and generate a set of most frequent text tokens included in the item descriptions. The machine may identify an image feature exhibited by an item's image and determine that a text token from the corresponding item description matches one of the most frequent text tokens. A data structure may be generated by the machine to correlate the identified image feature with the text token.Type: ApplicationFiled: March 20, 2023Publication date: July 20, 2023Inventors: Anjan Goswami, Sung Hwan Chung
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Patent number: 11636364Abstract: A machine may be configured to access an image of an item described by a description of the item. The machine may determine an image quality score of the image based on an analysis of the image. A request for search results that pertain to the description may be received by the machine, and the machine may present a search result that references the item's image, based on its image quality score. Also, the machine may access images of items and descriptions of items and generate a set of most frequent text tokens included in the item descriptions. The machine may identify an image feature exhibited by an item's image and determine that a text token from the corresponding item description matches one of the most frequent text tokens. A data structure may be generated by the machine to correlate the identified image feature with the text token.Type: GrantFiled: November 27, 2018Date of Patent: April 25, 2023Assignee: eBay Inc.Inventors: Anjan Goswami, Sung Hwan Chung
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Patent number: 11580179Abstract: A method and system for recommending articles including: receiving a customer request from the customer during the session; generating case data for a case, by an article recommender app; configuring a training set based on the subject and description data of the customer request; identifying, by an artificial intelligence (AI) app, a first pool of articles from a knowledge database; identifying by at least one query, a second pool of articles from a case article database to into a merged pool of articles; assigning, by the AI app, an implicit label to one of the first pool and the second pool of the articles; applying a model derived by the AI app based on customer behavior and a set of features related to the case to classify each article of the merged pool of articles based at least in part on the predicted relevance of the article.Type: GrantFiled: September 24, 2018Date of Patent: February 14, 2023Assignee: salesforce.com, inc.Inventors: Pingping Xiu, Sitaram Asur, Anjan Goswami, Ziwei Chen, Na Cheng, Suhas Satish, Jacob Nathaniel Huffman, Peter Francis White, WeiPing Peng, Aditya Sakhuja, Jayesh Govindarajan, Edgar Gerardo Velasco
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Patent number: 11282116Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.Type: GrantFiled: October 29, 2019Date of Patent: March 22, 2022Assignee: eBay Inc.Inventors: Anjan Goswami, Naren Chittar, Ali Dasdan, Sanjay Pundlkrao Ghatare, Sandip Namdeo Gaikwad, Sung Hwan Chung
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Publication number: 20210240779Abstract: A method is provided for generating a ranked list of candidate responders. In some embodiments, the method includes receiving a question from a user and generating a question feature vector representing an intent of the question and a first skill set inferred from the question. The method also includes for one or more candidate responders, generating a candidate feature vector representing a skill set and questions associated with the respective candidate responder; computing a reputation score based on questions and user feedback associated with the respective candidate responder; and computing, based on the question feature vector, candidate feature vector, and reputation score, a probability score representing a prediction of the quality of an answer that would be provided by the respective candidate responder if the input question were routed to the respective candidate responder. The method further includes generating a ranked list of candidate responders using the computed probability scores.Type: ApplicationFiled: April 23, 2021Publication date: August 5, 2021Inventors: Sitaram ASUR, Aditya SAKHUJA, Hui S. FISHER, Anjan GOSWAMI, Khoa LE
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Patent number: 11055354Abstract: Methods, systems, and devices for processing and answering a natural language query at a database server are described. An end user may submit a question in natural language over a communication platform. An answer engine running on the database server may receive the question, and may process the content of the question using natural language processing (NLP) techniques. The answer engine may construct a search query based on the NLP, and may retrieve a set of documents from a database using the search query. The answer engine may rank the documents, prune the number of documents, modify the documents for the given communication platform, or perform any combination of these functions. In some cases, an intermediate user may review the documents, and may select one or more documents for publication. The answer engine may send the selected documents to the end user as answers in response to the question.Type: GrantFiled: November 3, 2017Date of Patent: July 6, 2021Assignee: salesforce.com, inc.Inventors: Peter Francis White, Michael Micucci, Scott Douglas White, Weiping Peng, Anjan Goswami, Pranav Suresh Shah, Prakash Mallick, Pingping Xiu, Zhenhua Xu
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Patent number: 10997250Abstract: A method is provided for generating a ranked list of candidate responders. In some embodiments, the method includes receiving a question from a user and generating a question feature vector representing an intent of the question and a first skill set inferred from the question. The method also includes for one or more candidate responders, generating a candidate feature vector representing a skill set and questions associated with the respective candidate responder; computing a reputation score based on questions and user feedback associated with the respective candidate responder; and computing, based on the question feature vector, candidate feature vector, and reputation score, a probability score representing a prediction of the quality of an answer that would be provided by the respective candidate responder if the input question were routed to the respective candidate responder. The method further includes generating a ranked list of candidate responders using the computed probability scores.Type: GrantFiled: September 24, 2018Date of Patent: May 4, 2021Assignee: salesforce.com, inc.Inventors: Sitaram Asur, Aditya Sakhuja, Hui S. Fisher, Anjan Goswami, Khoa Le
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Patent number: 10853395Abstract: A method is provided for providing a final result set to a user. In some embodiments, the method includes receiving from the user an input question directed to an organization belonging to a particular category. The method includes applying a plurality of rules to the input question, at least one rule being assigned a weight dependent on the particular category to which the organization belongs. The method further includes extracting, based on applying the plurality of rules, multiple collections of keywords and generating a plurality of search queries. Each search query includes a different collection of keywords. The method also includes submitting the plurality of search queries to a database and in response, receiving multiple result sets from the database. The method further includes in response to the input question, providing a final result including a subset of documents included in the multiple result sets to the user.Type: GrantFiled: September 24, 2018Date of Patent: December 1, 2020Assignee: salesforce.com, inc.Inventors: Aditya Sakhuja, Pingping Xiu, Weiping Peng, Edgar Gerardo Velasco, Anjan Goswami
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Publication number: 20200160403Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.Type: ApplicationFiled: October 29, 2019Publication date: May 21, 2020Inventors: Anjan Goswami, Naren Chittar, Ali Dasdan, Sanjay Pundlkrao Ghatare, Sandip Namdeo Gaikwad, Sung Hwan Chung
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Publication number: 20200097608Abstract: A method and system for recommending articles including: receiving a customer request from the customer during the session; generating case data for a case, by an article recommender app; configuring a training set based on the subject and description data of the customer request; identifying, by an artificial intelligence (AI) app, a first pool of articles from a knowledge database; identifying by at least one query, a second pool of articles from a case article database to into a merged pool of articles; assigning, by the AI app, an implicit label to one of the first pool and the second pool of the articles; applying a model derived by the AI app based on customer behavior and a set of features related to the case to classify each article of the merged pool of articles based at least in part on the predicted relevance of the article.Type: ApplicationFiled: September 24, 2018Publication date: March 26, 2020Inventors: Pingping XIU, Sitaram ASUR, Anjan GOSWAMI, Ziwei CHEN, Na CHENG, Suhas SATISH, Jacob Nathaniel HUFFMAN, Peter Francis WHITE, WeiPing PENG, Aditya SAKHUJA, Jayesh GOVINDARAJAN, Edgar Gerardo VELASCO
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Publication number: 20200097600Abstract: A method is provided for providing a final result set to a user. In some embodiments, the method includes receiving from the user an input question directed to an organization belonging to a particular category. The method includes applying a plurality of rules to the input question, at least one rule being assigned a weight dependent on the particular category to which the organization belongs. The method further includes extracting, based on applying the plurality of rules, multiple collections of keywords and generating a plurality of search queries. Each search query includes a different collection of keywords. The method also includes submitting the plurality of search queries to a database and in response, receiving multiple result sets from the database. The method further includes in response to the input question, providing a final result including a subset of documents included in the multiple result sets to the user.Type: ApplicationFiled: September 24, 2018Publication date: March 26, 2020Inventors: Aditya SAKHUJA, Pingping XIU, Weiping PENG, Edgar Gerardo VELASCO, Anjan GOSWAMI
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Publication number: 20200097616Abstract: A method is provided for generating a ranked list of candidate responders. In some embodiments, the method includes receiving a question from a user and generating a question feature vector representing an intent of the question and a first skill set inferred from the question. The method also includes for one or more candidate responders, generating a candidate feature vector representing a skill set and questions associated with the respective candidate responder; computing a reputation score based on questions and user feedback associated with the respective candidate responder; and computing, based on the question feature vector, candidate feature vector, and reputation score, a probability score representing a prediction of the quality of an answer that would be provided by the respective candidate responder if the input question were routed to the respective candidate responder. The method further includes generating a ranked list of candidate responders using the computed probability scores.Type: ApplicationFiled: September 24, 2018Publication date: March 26, 2020Inventors: Sitaram ASUR, Aditya SAKHUJA, Hui S. FISHER, Anjan GOSWAMI, Khoa LE
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Patent number: 10497032Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.Type: GrantFiled: February 4, 2016Date of Patent: December 3, 2019Assignee: eBay Inc.Inventors: Anjan Goswami, Naren Chittar, Ali Dasdan, Sanjay Pundlkrao Ghatare, Sandip Namdeo Gaikwad, Sung Hwan Chung
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Publication number: 20190138660Abstract: Methods, systems, and devices for processing and answering a natural language query at a database server are described. An end user may submit a question in natural language over a communication platform. An answer engine running on the database server may receive the question, and may process the content of the question using natural language processing (NLP) techniques. The answer engine may construct a search query based on the NLP, and may retrieve a set of documents from a database using the search query. The answer engine may rank the documents, prune the number of documents, modify the documents for the given communication platform, or perform any combination of these functions. In some cases, an intermediate user may review the documents, and may select one or more documents for publication. The answer engine may send the selected documents to the end user as answers in response to the question.Type: ApplicationFiled: November 3, 2017Publication date: May 9, 2019Inventors: Peter Francis White, Michael Micucci, Scott Douglas White, Weiping Peng, Anjan Goswami, Pranav Suresh Shah, Prakash Mallick, Pingping Xiu, Zhenhua Xu
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Publication number: 20190095807Abstract: A machine may be configured to access an image of an item described by a description of the item. The machine may determine an image quality score of the image based on an analysis of the image. A request for search results that pertain to the description may be received by the machine, and the machine may present a search result that references the item's image, based on its image quality score. Also, the machine may access images of items and descriptions of items and generate a set of most frequent text tokens included in the item descriptions. The machine may identify an image feature exhibited by an item's image and determine that a text token from the corresponding item description matches one of the most frequent text tokens. A data structure may be generated by the machine to correlate the identified image feature with the text token.Type: ApplicationFiled: November 27, 2018Publication date: March 28, 2019Inventors: Anjan Goswami, Sung Hwan Chung
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Patent number: 10176429Abstract: Methods and systems for selecting listing based on a click predictions score are disclosed. The server system includes one or more processors, memory, and one or more programs stored in the memory. The server system receives a search query from a client system. In response to receiving the search query, the server system identities a plurality of item listings relevant to the received search query. For each identified item listing, the server system generates a click prediction score, wherein a click predication score represents the estimated likelihood that a user will click on the listing. The server system ranks the plurality of item listings based on the generated click prediction score and selects a predetermined number of the item listings for transmission to the client system based on their ranking and associated click prediction score. The server system transmits one or more item listings to the client system for display.Type: GrantFiled: February 12, 2015Date of Patent: January 8, 2019Assignee: eBay Inc.Inventors: Anjan Goswami, Sung Hwan Chung
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Publication number: 20170193573Abstract: Some embodiments include a system. The system includes one or more processors, and one or more non-transitory memory storage devices storing computer instructions configured to run on the one or more processors. The computer instructions are configured to perform acts of: making available multiple items for purchase by an instant consumer; receiving a query from the instant consumer; determining an estimated price range; identifying one or more in-range items of the multiple items; identifying one or more out-range items of the multiple items; and facilitating displaying to the instant consumer a list of the multiple items such that the one or more in-range items are listed before the one or more out-range items in the list. Other embodiments of related systems and methods are also provided.Type: ApplicationFiled: January 4, 2016Publication date: July 6, 2017Applicant: WAL-MART STORES, INC.Inventors: Wei Han, Parikshit Sondhi, Anjan Goswami
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Patent number: 9519918Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.Type: GrantFiled: February 13, 2014Date of Patent: December 13, 2016Assignee: eBay Inc.Inventors: Anjan Goswami, Naren Chittar, Ali Dasdan, Sanjay Pundlkrao Ghatare, Sandip Namdeo Gaikwad, Sung Hwan Chung
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Publication number: 20160154822Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.Type: ApplicationFiled: February 4, 2016Publication date: June 2, 2016Inventors: Anjan Goswami, Naren Chittar, Ali Dasdan, Sanjay Pundlkrao Ghatare, Sandip Namdeo Gaikwad, Sung Hwan Chung