Patents by Inventor Adish Singla
Adish Singla 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: 11017047Abstract: Search and browse trails are temporally-ordered sequences of web pages visited by a user during post-search query navigation beginning with a page associated with one of the search results. The trails can provide useful information for a number of search-related purposes. For example, these trails can be used to leverage the post-query behavior of other users to help the current user search more effectively and allow them to make more informed search interaction decisions. The trails can also be used to establish search results and refine search result rankings, select and evaluate deeplinks, and recommend multi-step trails as an alternative to or enhancement for existing search result presentation techniques.Type: GrantFiled: May 8, 2019Date of Patent: May 25, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Ryen W. White, Peter Bailey, Nikhil Dandekar, Adish Singla, Jeff Huang
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Publication number: 20190266203Abstract: Search and browse trails are temporally-ordered sequences of web pages visited by a user during post-search query navigation beginning with a page associated with one of the search results. The trails can provide useful information for a number of search-related purposes. For example, these trails can be used to leverage the post-query behavior of other users to help the current user search more effectively and allow them to make more informed search interaction decisions. The trails can also be used to establish search results and refine search result rankings, select and evaluate deeplinks, and recommend multi-step trails as an alternative to or enhancement for existing search result presentation techniques.Type: ApplicationFiled: May 8, 2019Publication date: August 29, 2019Applicant: Microsoft Technology Licensing, LLCInventors: Ryen W. White, Peter Bailey, Nikhil Dandekar, Adish Singla, Jeff Huang
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Patent number: 10289735Abstract: Search and browse trails are temporally-ordered sequences of web pages visited by a user during post-search query navigation beginning with a page associated with one of the search results. The trails can provide useful information for a number of search-related purposes. For example, these trails can be used to leverage the post-query behavior of other users to help the current user search more effectively and allow them to make more informed search interaction decisions. The trails can also be used to establish search results and refine search result rankings, select and evaluate deeplinks, and recommend multi-step trails as an alternative to or enhancement for existing search result presentation techniques.Type: GrantFiled: April 27, 2010Date of Patent: May 14, 2019Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Ryen W. White, Peter Bailey, Nikhil Dandekar, Adish Singla, Jeff Huang
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Patent number: 10133878Abstract: A stochastic privacy service provider may provide users with a guaranteed upper bound on a probability that personal data will be accessed while enabling the services to collect data that can be used to enhance its services. Users may receive incentives to become participants in a stochastic privacy program. The stochastic privacy provider may employ one or more probabilistic and decision-theoretic methods to determine which participants' personal data should be sought while guaranteeing that the probability of personal data being accessed is smaller than the mutually agreed upon probability of access. The probability of access may be on a per time basis. The stochastic privacy provider may access coalescenses of the personal data of sets of multiple people, where a maximum probability is given for accessing statistical summaries of personal data computed from groups of people that are of at least some guaranteed size.Type: GrantFiled: July 30, 2014Date of Patent: November 20, 2018Assignee: Microsoft Technology Licensing, LLCInventors: Eric J. Horvitz, Semiha Ece Kamar Eden, Ryen W. White, Adish Singla
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Patent number: 9818065Abstract: The claimed subject matter includes a system and method for attribution of search activity in multi-user settings. The method includes training a classifier to distinguish between machines that are single-user and multi-user based on activity logs of an identified machine. The identified machine is determined to be multi-user based on the classifier. A number of users is estimated for the identified machine. Activity of the users is clustered based on the number of users estimated. A similarity function is learned for the number of users estimated. The method also includes assigning new activity to one of the users based on the clustering, and the similarity function.Type: GrantFiled: March 12, 2014Date of Patent: November 14, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Ryen White, Ahmed Hassan Awadallah, Adish Singla, Eric Horvitz
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Patent number: 9355095Abstract: The techniques discussed herein consider a degree of noise associated with user clicks performed during search sessions. The techniques then generate a model that characterizes click noise so that search engines can more accurately infer document relevance.Type: GrantFiled: December 30, 2011Date of Patent: May 31, 2016Assignee: Microsoft Technology Licensing, LLCInventors: Weizhu Chen, Zheng Chen, Adish Singla
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Publication number: 20160034705Abstract: A stochastic privacy service provider may provide users with a guaranteed upper bound on a probability that personal data will be accessed while enabling the services to collect data that can be used to enhance its services. Users may receive incentives to become participants in a stochastic privacy program. The stochastic privacy provider may employ one or more probabilistic and decision-theoretic methods to determine which participants' personal data should be sought while guaranteeing that the probability of personal data being accessed is smaller than the mutually agreed upon probability of access. The probability of access may be on a per time basis. The stochastic privacy provider mayaccess coalescenses of the personal data of sets of multiple people, where a maximum probability is given for accessing statistical summaries of personal data computed from groups of people that are of at least some guaranteed size.Type: ApplicationFiled: July 30, 2014Publication date: February 4, 2016Inventors: Eric J. Horvitz, Ece E. Kamar, Ryen W. White, Adish Singla
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Publication number: 20150262077Abstract: The claimed subject matter includes a system and method for attribution of search activity in multi-user settings. The method includes training a classifier to distinguish between machines that are single-user and multi-user based on activity logs of an identified machine. The identified machine is determined to be multi-user based on the classifier. A number of users is estimated for the identified machine. Activity of the users is clustered based on the number of users estimated. A similarity function is learned for the number of users estimated. The method also includes assigning new activity to one of the users based on the clustering, and the similarity function.Type: ApplicationFiled: March 12, 2014Publication date: September 17, 2015Applicant: Microsoft CorporationInventors: Ryen White, Ahmed Hassan Awadallah, Adish Singla, Eric Horvitz
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Publication number: 20130173571Abstract: The techniques discussed herein consider a degree of noise associated with user clicks performed during search sessions. The techniques then generate a model that characterizes click noise so that search engines can more accurately infer document relevance.Type: ApplicationFiled: December 30, 2011Publication date: July 4, 2013Applicant: MICROSOFT CORPORATIONInventors: Weizhu Chen, Zheng Chen, Adish Singla
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Publication number: 20110264673Abstract: Search and browse trails are temporally-ordered sequences of web pages visited by a user during post-search query navigation beginning with a page associated with one of the search results. The trails can provide useful information for a number of search-related purposes. For example, these trails can be used to leverage the post-query behavior of other users to help the current user search more effectively and allow them to make more informed search interaction decisions. The trails can also be used to establish search results and refine search result rankings, select and evaluate deeplinks, and recommend multi-step trails as an alternative to or enhancement for existing search result presentation techniques.Type: ApplicationFiled: April 27, 2010Publication date: October 27, 2011Applicant: Microsoft CorporationInventors: Ryen W. White, Peter Bailey, Nikhil Dandekar, Adish Singla, Jeff Huang