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).
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Patent number: 11107131Abstract: 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: GrantFiled: September 6, 2017Date of Patent: August 31, 2021Assignee: Verizon Media Inc.Inventors: Supreeth Rao, Jianning Dong, Anurag Ojha, Matt Earls, Saurabh Dixit
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Patent number: 9911140Abstract: 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: GrantFiled: October 1, 2013Date of Patent: March 6, 2018Assignee: Excalibur IP, LLCInventors: Saurabh Dixit, Matt Earls, Supreeth Rao, Anurag Ojha, Jianning Dong
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Publication number: 20170364963Abstract: 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: ApplicationFiled: September 6, 2017Publication date: December 21, 2017Applicant: Yahoo Holdings, Inc.Inventors: Supreeth Rao, Jianning Dong, Anurag Ojha, Matt Earls, Saurabh Dixit
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Patent number: 9792629Abstract: 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: GrantFiled: October 1, 2013Date of Patent: October 17, 2017Assignee: Yahoo Holdings, Inc.Inventors: Supreeth Rao, Jianning Dong, Anurag Ojha, Matt Earls, Saurabh Dixit
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Publication number: 20150039432Abstract: 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: ApplicationFiled: October 1, 2013Publication date: February 5, 2015Applicant: Yahoo! Inc.Inventors: Supreeth Rao, Jianning Dong, Anurag Ojha, Matt Earls, Saurabh Dixit
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Publication number: 20150039419Abstract: 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: ApplicationFiled: October 1, 2013Publication date: February 5, 2015Applicant: Yahoo! Inc.Inventors: Saurabh Dixit, Matt Earls, Supreeth Rao, Anurag Ojha, Jianning Dong