Patents by Inventor Manojkumar Rangasamy Kannadasan

Manojkumar Rangasamy Kannadasan 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).

  • Publication number: 20240046306
    Abstract: In various example embodiments, a system and method for determining a spam publication using a spam detection system are presented. The spam detection system receives, from a device, an image of an item and an item attribute for the item. Additionally, the spam detection system extracts an image attribute based on the received image, and compares the item attribute and the image attribute. Moreover, the spam detection system calculates a confidence score based on the comparison. Furthermore, the spam detection system determines that the item attribute is incorrect based on the confidence score transgressing a predetermined threshold. In response to the determination that the item attribute is incorrect, the spam detection system causes presentation, on a display of the device, of a notification.
    Type: Application
    Filed: October 16, 2023
    Publication date: February 8, 2024
    Applicant: eBay Inc.
    Inventors: Manojkumar Rangasamy Kannadasan, Ajinkya Gorakhnath Kale
  • Publication number: 20230410189
    Abstract: Technologies are disclosed herein for distributing information. The disclosed technologies determine an application element configured to receive information that is updated at a variable rate, the information pertaining to an object. Feature data is received that is associated with the object and data associated with use of the application element. The feature data includes a time horizon for the object and supplemental information associated with the object. Based on the feature data and the data associated with use of the application element, a first rate is predicted for sending the information about the object to the application element. The information is sent to the application element at the first rate.
    Type: Application
    Filed: August 29, 2023
    Publication date: December 21, 2023
    Applicant: eBay Inc.
    Inventors: Ramesh Periyathambi, Manojkumar RANGASAMY KANNADASAN, Lakshimi DURAIVENKATESH, Sai Vipin SIRIPURAPU
  • Patent number: 11830031
    Abstract: In various example embodiments, a system and method for determining a spam publication using a spam detection system are presented. The spam detection system receives, from a device, an image of an item and an item attribute for the item. Additionally, the spam detection system extracts an image attribute based on the received image, and compares the item attribute and the image attribute. Moreover, the spam detection system calculates a confidence score based on the comparison. Furthermore, the spam detection system determines that the item attribute is incorrect based on the confidence score transgressing a predetermined threshold. In response to the determination that the item attribute is incorrect, the spam detection system causes presentation, on a display of the device, of a notification.
    Type: Grant
    Filed: December 28, 2021
    Date of Patent: November 28, 2023
    Assignee: eBay Inc.
    Inventors: Manojkumar Rangasamy Kannadasan, Ajinkya Gorakhnath Kale
  • Patent number: 11798070
    Abstract: Technologies are disclosed herein for distributing information. The disclosed technologies determine an application element configured to receive information that is updated at a variable rate, the information pertaining to an object. Feature data is received that is associated with the object and data associated with use of the application element. The feature data includes a time horizon for the object and supplemental information associated with the object. Based on the feature data and the data associated with use of the application element, a first rate is predicted for sending the information about the object to the application element. The information is sent to the application element at the first rate.
    Type: Grant
    Filed: August 12, 2019
    Date of Patent: October 24, 2023
    Assignee: eBay Inc.
    Inventors: Ramesh Periyathambi, Manojkumar Rangasamy Kannadasan, Lakshimi Duraivenkatesh, Sai Vipin Siripurapu
  • Patent number: 11720947
    Abstract: A search engine provides diverse search results in response to a search query using a trained diversity ranker. The diverse results may be generated by determining ranking positions of at least some search results based on delta feature values that are dependent on higher-ranked results. Delta feature values indicate a degree or magnitude of difference between a particular result and other results with respect to a particular feature, such as price, category, or shipping type. In providing the ranked results for presentation to a user at a computing device, a diversity feature indicator for at least some results may be generated. The diversity feature is a feature that distinguishes a given result from other results. As such, the diversity feature indicator represents that diversity feature for the particular result being different from other results and distinguishes the diversity feature from other features in the particular result.
    Type: Grant
    Filed: October 17, 2019
    Date of Patent: August 8, 2023
    Assignee: EBAY INC.
    Inventors: Saratchandra Indrakanti, Manojkumar Rangasamy Kannadasan, Rajyashree Mukherjee, Svetlana Strunjas, Shubhangi Tandon
  • Publication number: 20220207562
    Abstract: Techniques for prefetching operation cost based digital content and digital content with emphasis that overcome the challenges of conventional systems are described. In one example, a computing device may receive digital content representations of digital content from a service provider system, which are displayed on a user interface of the computing device. Thereafter, the computing device may also receive digital content as prefetches having a changed display characteristic as emphasizing a portion of the digital content based on a model trained using machine learning. Alternatively, the computing device may receive digital content as a prefetch based on a model trained using machine learning in which the model addresses a likelihood of conversion of a good or service and an operation cost of providing the digital content. Upon receiving a user input selecting one of the digital content representations, digital content is rendered in the user interface of the computing device.
    Type: Application
    Filed: March 21, 2022
    Publication date: June 30, 2022
    Applicant: eBay Inc.
    Inventors: Ramesh Periyathambi, Manojkumar Rangasamy Kannadasan, Lakshimi Duraivenkatesh, Vineet Bindal, Selcuk Kopru, Tomer Lancewicki
  • Patent number: 11321737
    Abstract: Techniques for prefetching operation cost based digital content and digital content with emphasis that overcome the challenges of conventional systems are described. In one example, a computing device may receive digital content representations of digital content from a service provider system, which are displayed on a user interface of the computing device. Thereafter, the computing device may also receive digital content as prefetches having a changed display characteristic as emphasizing a portion of the digital content based on a model trained using machine learning. Alternatively, the computing device may receive digital content as a prefetch based on a model trained using machine learning in which the model addresses a likelihood of conversion of a good or service and an operation cost of providing the digital content. Upon receiving a user input selecting one of the digital content representations, digital content is rendered in the user interface of the computing device.
    Type: Grant
    Filed: December 13, 2019
    Date of Patent: May 3, 2022
    Assignee: eBay Inc.
    Inventors: Ramesh Periyathambi, Manojkumar Rangasamy Kannadasan, Lakshimi Duraivenkatesh, Vineet Bindal, Selcuk Kopru, Tomer Lancewicki
  • Publication number: 20220122122
    Abstract: In various example embodiments, a system and method for determining a spam publication using a spam detection system are presented. The spam detection system receives, from a device, an image of an item and an item attribute for the item. Additionally, the spam detection system extracts an image attribute based on the received image, and compares the item attribute and the image attribute. Moreover, the spam detection system calculates a confidence score based on the comparison. Furthermore, the spam detection system determines that the item attribute is incorrect based on the confidence score transgressing a predetermined threshold. In response to the determination that the item attribute is incorrect, the spam detection system causes presentation, on a display of the device, of a notification.
    Type: Application
    Filed: December 28, 2021
    Publication date: April 21, 2022
    Applicant: eBay Inc.
    Inventors: Manojkumar Rangasamy Kannadasan, Ajinkya Gorakhnath Kale
  • Patent number: 11244349
    Abstract: In various example embodiments, a system and method for determining a spam publication using a spam detection system are presented. The spam detection system receives, from a device, an image of an item and an item attribute for the item. Additionally, the spam detection system extracts an image attribute based on the received image, and compares the item attribute and the image attribute. Moreover, the spam detection system calculates a confidence score based on the comparison. Furthermore, the spam detection system determines that the item attribute is incorrect based on the confidence score transgressing a predetermined threshold. In response to the determination that the item attribute is incorrect, the spam detection system causes presentation, on a display of the device, of a notification.
    Type: Grant
    Filed: December 29, 2015
    Date of Patent: February 8, 2022
    Assignee: eBay Inc.
    Inventors: Manojkumar Rangasamy Kannadasan, Ajinkya Gorakhnath Kale
  • Patent number: 11222064
    Abstract: Images of items often include a significant amount of information that can be used in categorizing the item (e.g., as a book, a phone, or an accessory) or in identifying attributes of the item (e.g., the item's color or style). A user provides a search query for listings of items. Images of items in listings previously selected by users providing the same search query are analyzed to identify the category or attributes of the depicted items. The identified category or attributes are added to the user's search query. Listings matching the modified search query are provided to the user.
    Type: Grant
    Filed: December 31, 2015
    Date of Patent: January 11, 2022
    Assignee: eBay Inc.
    Inventors: Ajinkya Gorakhnath Kale, Manojkumar Rangasamy Kannadasan
  • Publication number: 20210263938
    Abstract: A search engine is provided that generates search results proportional to a natural distribution. Search results identified and ranked by the search engine for a search query are redistributed so that a fixed number of top ranked search results include search result attributes proportional to the natural distribution, as determined from interaction tracking of prior search results. A natural distribution index mapping prior search queries to search result attributes and a proportional representation of interactions with the search result attributes is generated. The natural distribution is determined from the proportional representation of interactions. The search engine redistributes the fixed number of top ranked search results by minimizing a gap between the ranked set of search results for the search query and the natural distribution.
    Type: Application
    Filed: May 8, 2020
    Publication date: August 26, 2021
    Inventors: Manojkumar Rangasamy Kannadasan, Amit Jaiswal
  • Publication number: 20210182904
    Abstract: Techniques for prefetching operation cost based digital content and digital content with emphasis that overcome the challenges of conventional systems are described. In one example, a computing device may receive digital content representations of digital content from a service provider system, which are displayed on a user interface of the computing device. Thereafter, the computing device may also receive digital content as prefetches having a changed display characteristic as emphasizing a portion of the digital content based on a model trained using machine learning. Alternatively, the computing device may receive digital content as a prefetch based on a model trained using machine learning in which the model addresses a likelihood of conversion of a good or service and an operation cost of providing the digital content. Upon receiving a user input selecting one of the digital content representations, digital content is rendered in the user interface of the computing device.
    Type: Application
    Filed: December 13, 2019
    Publication date: June 17, 2021
    Applicant: eBay Inc.
    Inventors: Ramesh Periyathambi, Manojkumar Rangasamy Kannadasan, Lakshimi Duraivenkatesh, Vineet Bindal, Selcuk Kopru, Tomer Lancewicki
  • Publication number: 20210118034
    Abstract: A search engine provides diverse search results in response to a search query using a trained diversity ranker. The diverse results may be generated by determining ranking positions of at least some search results based on delta feature values that are dependent on higher-ranked results. Delta feature values indicate a degree or magnitude of difference between a particular result and other results with respect to a particular feature, such as price, category, or shipping type. In providing the ranked results for presentation to a user at a computing device, a diversity feature indicator for at least some results may be generated. The diversity feature is a feature that distinguishes a given result from other results. As such, the diversity feature indicator represents that diversity feature for the particular result being different from other results and distinguishes the diversity feature from other features in the particular result.
    Type: Application
    Filed: October 17, 2019
    Publication date: April 22, 2021
    Inventors: Saratchandra Indrakanti, Manojkumar Rangasamy Kannadasan, Rajyashree Mukherjee, Svetlana Strunjas, Shubhangi Tandon
  • Publication number: 20210049674
    Abstract: The disclosed technologies include receiving a selection of an item, where the item has a plurality of selectable configurations. Feature data that is associated with the item is accessed. The feature data includes product information and a purchase history for the plurality of selectable configurations for the item. Based on the feature data, one or more of the selectable configurations are predicted to be of interest to a user associated with the selection. A user interface including the predicted configurations with the feature data is rendered.
    Type: Application
    Filed: August 16, 2019
    Publication date: February 18, 2021
    Inventors: Ramesh PERIYATHAMBI, Manojkumar Rangasamy KANNADASAN, Lakshimi DURAIVENKATESH, Tomer LANCEWICKI, Selcuk KOPRU
  • Publication number: 20210049679
    Abstract: Technologies are disclosed herein for distributing information. The disclosed technologies determine an application element configured to receive information that is updated at a variable rate, the information pertaining to an object. Feature data is received that is associated with the object and data associated with use of the application element. The feature data includes a time horizon for the object and supplemental information associated with the object. Based on the feature data and the data associated with use of the application element, a first rate is predicted for sending the information about the object to the application element. The information is sent to the application element at the first rate.
    Type: Application
    Filed: August 12, 2019
    Publication date: February 18, 2021
    Inventors: Ramesh PERIYATHAMBI, Manojkumar RANGASAMY KANNADASAN, Lakshimi DURAIVENKATESH, Sai Vipin SIRIPURAPU
  • Patent number: 10636075
    Abstract: In various example embodiments, techniques for querying a product in a database of a publication system using a tail query are presented. An application interface module receives, from a device of a user, a tail query for a product in the publication system. The tail query has a common term and an uncommon term. A data storage interface module can access, from a search metrics database, a plurality of product categories associated with the common term, and access user behavior data, with the user behavior data including product views corresponding to past search queries in the publication system. A category predictor can determine a first product category from the plurality of product categories for the tail query based on the user behavior data and information derived from the search metrics database. A listing generator can generate an ordered list of product listings associated with the first product category based on the user behavior data.
    Type: Grant
    Filed: March 9, 2016
    Date of Patent: April 28, 2020
    Assignee: EBAY INC.
    Inventors: Manojkumar Rangasamy Kannadasan, Ajinkya Gorakhnath Kale
  • Publication number: 20190340503
    Abstract: Various methods and systems for providing query result titles using a problem-solution search engine in a search system are provided. A query is received; the query is identified as a free-text query. Problem description features are identified from the free-text query. The problem description features characterize an issue described in the free-text query. Solution description features associated with product titles are accessed, where solution description features characterize a resolved issue described in a product review. A product associated with the product review is the product that resolved the resolved issue in the product review. The problem description features are compared to the solution description features. A product title is identified as a query result title. The product title is selected based on solution description features of the product title corresponding to the problem description features of the free-text query. The query result title is communicated.
    Type: Application
    Filed: May 7, 2018
    Publication date: November 7, 2019
    Inventors: Han Cheng, Manojkumar Rangasamy Kannadasan, Wenwan Yang, Yanjun Zhou
  • Publication number: 20180357321
    Abstract: Aspects of the present disclosure relate to a network-based, user behavior based guidance system that includes a client device in communication with an application server executing the system over a network. For example, the user behavior based guidance system may be or include a group of one or more server machines. The user behavior based guidance system is configured to collect user behavior data of users interacting within a network during browsing sessions. For example, the user behavior collected by the system in a browsing session of the user includes clicks, back clicks, dwell time, device type, search requests, as well as exit rate. Each browsing session may be treated as a sequence of states, wherein each user behavior event is treated as a state in the sequence.
    Type: Application
    Filed: June 8, 2017
    Publication date: December 13, 2018
    Inventors: Han Cheng, Manojkumar Rangasamy Kannadasan, Wenwan Yang
  • Publication number: 20170262925
    Abstract: In various example embodiments, techniques for querying a product in a database of a publication system using a tail query are presented. An application interface module receives, from a device of a user, a tail query for a product in the publication system. The tail query has a common term and an uncommon term. A data storage interface module can access, from a search metrics database, a plurality of product categories associated with the common term, and access user behavior data, with the user behavior data including product views corresponding to past search queries in the publication system. A category predictor can determine a first product category from the plurality of product categories for the tail query based on the user behavior data and information derived from the search metrics database. A listing generator can generate an ordered list of product listings associated with the first product category based on the user behavior data.
    Type: Application
    Filed: March 9, 2016
    Publication date: September 14, 2017
    Inventors: Manojkumar Rangasamy Kannadasan, Ajinkya Gorakhnath Kale
  • Publication number: 20170193011
    Abstract: Images of items often include a significant amount of information that can be used in categorizing the item (e.g., as a book, a phone, or an accessory) or in identifying attributes of the item (e.g., the item's color or style). A user provides a search query for listings of items. Images of items in listings previously selected by users providing the same search query are analyzed to identify the category or attributes of the depicted items. The identified category or attributes are added to the user's search query. Listings matching the modified search query are provided to the user.
    Type: Application
    Filed: December 31, 2015
    Publication date: July 6, 2017
    Inventors: Ajinkya Gorakhnath Kale, Manojkumar Rangasamy Kannadasan