Patents by Inventor Jianning Dong

Jianning Dong 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: 11107131
    Abstract: An example system can include a server that includes or is associated with a keyword recommendation module. The keyword recommendation module can be configured to select keywords for a search engine for use in a search engine marketing campaign, wherein the search engine provides more traffic to Internet content of a publisher than other search engines, for the keywords. The module can also be configured to determine, per keyword, user engagement with the Internet content resulting from the traffic provided by the search engine for the keywords, according to one or more of time spent viewing the Internet content, page views of the Internet content, and dwell times. The module can also be configured to score, per keyword, the keywords according to the determined user engagement with the Internet content, and generate keyword recommendations according to the scoring of the keywords.
    Type: Grant
    Filed: September 6, 2017
    Date of Patent: August 31, 2021
    Assignee: Verizon Media Inc.
    Inventors: Supreeth Rao, Jianning Dong, Anurag Ojha, Matt Earls, Saurabh Dixit
  • Patent number: 9911140
    Abstract: An system can include a server that includes or is associated with a keyword price recommendation module. The module can be configured to recommend an optimal price for a keyword, per referral event, in a search engine marketing campaign. For making such a recommendation, the module can be configured to determine revenue generated per referral event for the keyword according to a number of referral events for the keyword for a plurality of users and revenue generated for the keyword by the plurality of users. It can also be configured to select a return on investment percentage for the keyword, and determine the optimal price for the keyword according to the revenue generated per referral event and the return on investment percentage. Additionally or alternatively, the keyword price recommendation module can be configured to calculate the return on investment percentage for the keyword according to at least one market condition.
    Type: Grant
    Filed: October 1, 2013
    Date of Patent: March 6, 2018
    Assignee: Excalibur IP, LLC
    Inventors: Saurabh Dixit, Matt Earls, Supreeth Rao, Anurag Ojha, Jianning Dong
  • Publication number: 20170364963
    Abstract: An example system can include a server that includes or is associated with a keyword recommendation module. The keyword recommendation module can be configured to select keywords for a search engine for use in a search engine marketing campaign, wherein the search engine provides more traffic to Internet content of a publisher than other search engines, for the keywords. The module can also be configured to determine, per keyword, user engagement with the Internet content resulting from the traffic provided by the search engine for the keywords, according to one or more of time spent viewing the Internet content, page views of the Internet content, and dwell times. The module can also be configured to score, per keyword, the keywords according to the determined user engagement with the Internet content, and generate keyword recommendations according to the scoring of the keywords.
    Type: Application
    Filed: September 6, 2017
    Publication date: December 21, 2017
    Applicant: Yahoo Holdings, Inc.
    Inventors: Supreeth Rao, Jianning Dong, Anurag Ojha, Matt Earls, Saurabh Dixit
  • Patent number: 9792629
    Abstract: An example system can include a server that includes or is associated with a keyword recommendation module. The keyword recommendation module can be configured to select keywords for a search engine for use in a search engine marketing campaign, wherein the search engine provides more traffic to Internet content of a publisher than other search engines, for the keywords. The module can also be configured to determine, per keyword, user engagement with the Internet content resulting from the traffic provided by the search engine for the keywords, according to one or more of time spent viewing the Internet content, page views of the Internet content, and dwell times. The module can also be configured to score, per keyword, the keywords according to the determined user engagement with the Internet content, and generate keyword recommendations according to the scoring of the keywords.
    Type: Grant
    Filed: October 1, 2013
    Date of Patent: October 17, 2017
    Assignee: Yahoo Holdings, Inc.
    Inventors: Supreeth Rao, Jianning Dong, Anurag Ojha, Matt Earls, Saurabh Dixit
  • Publication number: 20150039432
    Abstract: An example system can include a server that includes or is associated with a keyword recommendation module. The keyword recommendation module can be configured to select keywords for a search engine for use in a search engine marketing campaign, wherein the search engine provides more traffic to Internet content of a publisher than other search engines, for the keywords. The module can also be configured to determine, per keyword, user engagement with the Internet content resulting from the traffic provided by the search engine for the keywords, according to one or more of time spent viewing the Internet content, page views of the Internet content, and dwell times. The module can also be configured to score, per keyword, the keywords according to the determined user engagement with the Internet content, and generate keyword recommendations according to the scoring of the keywords.
    Type: Application
    Filed: October 1, 2013
    Publication date: February 5, 2015
    Applicant: Yahoo! Inc.
    Inventors: Supreeth Rao, Jianning Dong, Anurag Ojha, Matt Earls, Saurabh Dixit
  • Publication number: 20150039419
    Abstract: An system can include a server that includes or is associated with a keyword price recommendation module. The module can be configured to recommend an optimal price for a keyword, per referral event, in a search engine marketing campaign. For making such a recommendation, the module can be configured to determine revenue generated per referral event for the keyword according to a number of referral events for the keyword for a plurality of users and revenue generated for the keyword by the plurality of users. It can also be configured to select a return on investment percentage for the keyword, and determine the optimal price for the keyword according to the revenue generated per referral event and the return on investment percentage. Additionally or alternatively, the keyword price recommendation module can be configured to calculate the return on investment percentage for the keyword according to at least one market condition.
    Type: Application
    Filed: October 1, 2013
    Publication date: February 5, 2015
    Applicant: Yahoo! Inc.
    Inventors: Saurabh Dixit, Matt Earls, Supreeth Rao, Anurag Ojha, Jianning Dong