Patents by Inventor Raghav Jeyaraman

Raghav Jeyaraman 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: 20210119952
    Abstract: Embodiments are provided for reducing unwanted messages or spam within a real-time social networking service. According to certain aspects, a synchronous analysis module may operate in coordination with an asynchronous analysis module. Each of the synchronous analysis module and the asynchronous analysis module analyzes an incoming message from a user account to determine whether the incoming message has characteristics of spam, whereby the synchronous analysis is at a lower latency than the asynchronous analysis. The asynchronous analysis is afforded the ability to identify certain spam characteristics that the synchronous analysis may identify during its lower latency analysis.
    Type: Application
    Filed: September 28, 2020
    Publication date: April 22, 2021
    Inventors: Raghav Jeyaraman, Arjun Maheswaran, Erdong Chen
  • Patent number: 10791079
    Abstract: Embodiments are provided for reducing unwanted messages or spam within a real-time social networking service. According to certain aspects, a synchronous analysis module may operate in coordination with an asynchronous analysis module. Each of the synchronous analysis module and the asynchronous analysis module analyzes an incoming message from a user account to determine whether the incoming message has characteristics of spam, whereby the synchronous analysis is at a lower latency than the asynchronous analysis. The asynchronous analysis is afforded the ability to identify certain spam characteristics that the synchronous analysis may identify during its lower latency analysis.
    Type: Grant
    Filed: December 3, 2018
    Date of Patent: September 29, 2020
    Assignee: Twitter, Inc.
    Inventors: Raghav Jeyaraman, Arjun Maheswaran, Erdong Chen
  • Publication number: 20190190866
    Abstract: Embodiments are provided for reducing unwanted messages or spam within a real-time social networking service. According to certain aspects, a synchronous analysis module may operate in coordination with an asynchronous analysis module. Each of the synchronous analysis module and the asynchronous analysis module analyzes an incoming message from a user account to determine whether the incoming message has characteristics of spam, whereby the synchronous analysis is at a lower latency than the asynchronous analysis. The asynchronous analysis is afforded the ability to identify certain spam characteristics that the synchronous analysis may identify during its lower latency analysis.
    Type: Application
    Filed: December 3, 2018
    Publication date: June 20, 2019
    Inventors: Raghav Jeyaraman, Arjun Maheswaran, Erdong Chen
  • Patent number: 10148606
    Abstract: Embodiments are provided for reducing unwanted messages or spam within a real-time social networking service. According to certain aspects, a synchronous analysis module may operate in coordination with an asynchronous analysis module. Each of the synchronous analysis module and the asynchronous analysis module analyzes an incoming message from a user account to determine whether the incoming message has characteristics of spam, whereby the synchronous analysis is at a lower latency than the asynchronous analysis. The asynchronous analysis is afforded the ability to identify certain spam characteristics that the synchronous analysis may identify during its lower latency analysis.
    Type: Grant
    Filed: December 18, 2014
    Date of Patent: December 4, 2018
    Assignee: Twitter, Inc.
    Inventors: Raghav Jeyaraman, Arjun Maheswaran, Erdong Chen
  • Publication number: 20160028673
    Abstract: Embodiments are provided for reducing unwanted messages or spam within a real-time social networking service. According to certain aspects, a synchronous analysis module may operate in coordination with an asynchronous analysis module. Each of the synchronous analysis module and the asynchronous analysis module analyzes an incoming message from a user account to determine whether the incoming message has characteristics of spam, whereby the synchronous analysis is at a lower latency than the asynchronous analysis. The asynchronous analysis is afforded the ability to identify certain spam characteristics that the synchronous analysis may identify during its lower latency analysis.
    Type: Application
    Filed: December 18, 2014
    Publication date: January 28, 2016
    Inventors: Raghav Jeyaraman, Arjun Maheswaran, Erdong Chen
  • Patent number: 7996897
    Abstract: Learning to, and detecting spam messages using a multi-stage combination of probability calculations based on individual and aggregate training sets of previously identified messages. During a preliminary phase, classifiers are trained, lower and upper limit probabilities, and a combined probability threshold are iteratively determined using a multi-stage combination of probability calculations based on minor and major subsets of messages previously categorized as valid or spam. During a live phase, a first stage classifier uses only a particular subset, and a second stage classifier uses a master set of previously categorized messages. If a newly received message can not be categorized with certainty by the first stage classifier, and a computed first stage probability is within the previously determined lower and upper limits, first and second stage probabilities are combined.
    Type: Grant
    Filed: January 23, 2008
    Date of Patent: August 9, 2011
    Assignee: Yahoo! Inc.
    Inventors: Vishwanth Tumkur Ramarao, Abhishek Kumar Pandey, Raghav Jeyaraman
  • Publication number: 20090187987
    Abstract: Learning to, and detecting spam messages using a multi-stage combination of probability calculations based on individual and aggregate training sets of previously identified messages. During a preliminary phase, classifiers are trained, lower and upper limit probabilities, and a combined probability threshold are iteratively determined using a multi-stage combination of probability calculations based on minor and major subsets of messages previously categorized as valid or spam. During a live phase, a first stage classifier uses only a particular subset, and a second stage classifier uses a master set of previously categorized messages. If a newly received message can not be categorized with certainty by the first stage classifier, and a computed first stage probability is within the previously determined lower and upper limits, first and second stage probabilities are combined.
    Type: Application
    Filed: January 23, 2008
    Publication date: July 23, 2009
    Applicant: Yahoo! Inc.
    Inventors: Vishwanth Tumkur Ramarao, Abhishek Kumar Pandey, Raghav Jeyaraman