Patents by Inventor Varnit Agnihotri

Varnit Agnihotri 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).

  • Patent number: 11704370
    Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: July 18, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: David J. Stein, Paul T. Ogilvie, Bee-Chung Chen, Shaunak Chatterjee, Priyanka Gariba, Ke Wu, Grace W. Tang, Yangchun Luo, Boyi Chen, Amit Yadav, Ruoyang Wang, Divya Gadde, Wenxuan Gao, Amit Chandak, Varnit Agnihotri, Wei Zhuang, Joel D. Young, Weidong Zhang
  • Publication number: 20190325085
    Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.
    Type: Application
    Filed: April 20, 2018
    Publication date: October 24, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: David J. Stein, Paul T. Ogilvie, Bee-Chung Chen, Shaunak Chatterjee, Priyanka Gariba, Ke Wu, Grace W. Tang, Yangchun Luo, Boyi Chen, Amit Yadav, Ruoyang Wang, Divya Gadde, Wenxuan Gao, Amit Chandak, Varnit Agnihotri, Wei Zhuang, Joel D. Young, Weidong Zhang
  • Patent number: 10157351
    Abstract: Data mining systems and methods are disclosed for associating users with items based on underlying personas. The system associates each user account with one or more underlying personas that contribute to the user's interactions with different items, and predicts an active persona for a user based on the user's recent interactions with items and make item related recommendations that are oriented to the active persona. Thus, for example, even though multiple individuals may share a computer and/or account, the content (e.g., item recommendations) presented during a browsing session may be based primarily or exclusively on the past browsing behaviors of the particular individual conducting the browsing session.
    Type: Grant
    Filed: October 20, 2015
    Date of Patent: December 18, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Rajeev Ramnarain Rastogi, Varnit Agnihotri, Rushi Bhatt, Srujana Merugu
  • Patent number: 10089675
    Abstract: Data mining systems and methods are disclosed for associating users with items based on underlying personas. The system associates each user account with one or more underlying personas that contribute to the user's interactions with different items, and models user-to-item associations in accordance with the underlying personas based on probabilistic matrix factorization. The system may further predict an active persona for a user based on the user's recent interactions with items and make item related recommendations that are oriented to the active persona.
    Type: Grant
    Filed: October 20, 2015
    Date of Patent: October 2, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Rajeev Ramnarain Rastogi, Varnit Agnihotri, Rushi Bhatt, Srujana Merugu