Patents by Inventor Ramesh Dommeti
Ramesh Dommeti 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: 9965812Abstract: A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity.Type: GrantFiled: May 19, 2016Date of Patent: May 8, 2018Assignee: Microsoft Technology Licensing, LLCInventors: Anmol Bhasin, Jiong Wang, Abhishek Gupta, Alexis Pribula, Ramesh Dommeti, Christian Posse
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Patent number: 9734210Abstract: A system and method for personalized search based on searcher interest may include obtaining a search term from a member of a social network at a user device via the network interface. An initial result may be generated based on the search term, including a first group of content items from a social network and stored in a content database, the content items including member profiles of members of the social network. Each of the content items of the first group may be ranked based on information from an activity database, the activity database storing the information related to the social network, the activities including interactions with search results that include ones of the member profiles. A second group of the content items may be displayed, including at least some of the first group of the content items, based on the rank of the first group of the content items.Type: GrantFiled: November 12, 2014Date of Patent: August 15, 2017Assignee: LinkedIn CorporationInventors: Shakti Dhirendraji Sinha, Asif Mansoor Ali Makhani, Viet Thuc Ha, Lin Guo, Ramesh Dommeti, Senthil Sundaram, Ganesh Venkataraman
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Publication number: 20160343088Abstract: A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity.Type: ApplicationFiled: May 19, 2016Publication date: November 24, 2016Inventors: Anmol Bhasin, Jiong Wang, Abhishek Gupta, Alexis Pribula, Ramesh Dommeti, Christian Posse
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Patent number: 9372930Abstract: A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity.Type: GrantFiled: September 25, 2014Date of Patent: June 21, 2016Assignee: LinkedIn CorporationInventors: Anmol Bhasin, Jiong Wang, Abhishek Gupta, Alexis Pribula, Ramesh Dommeti, Christian Posse
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Publication number: 20160034464Abstract: A system and method for personalized search based on searcher interest may include obtaining a search term from a member of a social network at a user device via the network interface. An initial result may be generated based on the search term, including a first group of content items from a social network and stored in a content database, the content items including member profiles of members of the social network. Each of the content items of the first group may be ranked based on information from an activity database, the activity database storing the information related to the social network, the activities including interactions with search results that include ones of the member profiles. A second group of the content items may be displayed, including at least some of the first group of the content items, based on the rank of the first group of the content items.Type: ApplicationFiled: November 12, 2014Publication date: February 4, 2016Inventors: Shakti Dhirendraji Sinha, Asif Mansoor Ali Makhani, Viet Thuc Ha, Lin Guo, Ramesh Dommeti, Senthil Sundaram, Ganesh Venkataraman
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Patent number: 9251217Abstract: Systems and methods for searching for information within social networks are described. In some examples embodiments, a search assist system receives a query, such as a partial query, identifies two or more categories of data that include information satisfying the query, ranks the identified categories of data based on various selection criteria, and presents suggested search terms based on the rankings.Type: GrantFiled: January 31, 2013Date of Patent: February 2, 2016Assignee: LinkedIn CorporationInventors: Shakti Dhirendraji Sinha, Abhimanyu Lad, Ramesh Dommeti, Bradley Scott Mauney, Ashley Woodman Hall, Scott Blackburn
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Publication number: 20150347414Abstract: Techniques for optimizing non-convex function for learning to rank are described. Consistent with some embodiments, a search module may set an order for a group of search features. The group of search features can be used by a ranking model to determine the relevance of items in a search query. Additionally, the search module can assign a first weight factor to a first search feature in the group of search features. Moreover, the search module can calculate a mean reciprocal rank for the search query based on the assigned first weight factor. Furthermore, the search module can determine a second weight factor, using a preset incremental vector, for a second search feature in the group of search features to maximize the mean reciprocal rank for the search query. Subsequently, the search module can assign the second weight factor to the second search feature in the group of search features.Type: ApplicationFiled: May 30, 2014Publication date: December 3, 2015Applicant: Linkedln CorporationInventors: Fei Xiao, Shakti Dhirendraji Sinha, Satya Pradeep Kanduri, Ramesh Dommeti
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Publication number: 20150081576Abstract: A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity.Type: ApplicationFiled: September 25, 2014Publication date: March 19, 2015Inventors: Anmol Bhasin, Jiong Wang, Abhishek Gupta, Alexis Pribula, Ramesh Dommeti, Christian Posse
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Patent number: 8880562Abstract: A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity.Type: GrantFiled: March 23, 2012Date of Patent: November 4, 2014Assignee: LinkedIn CorporationInventors: Anmol Bhasin, Jiong Wang, Abhishek Gupta, Alexis Pribula, Ramesh Dommeti, Christian Posse
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Publication number: 20140214822Abstract: Systems and methods for searching for information within social networks are described. In some examples embodiments, a search assist system receives a query, such as a partial query, identifies two or more categories of data that include information satisfying the query, ranks the identified categories of data based on various selection criteria, and presents suggested search terms based on the rankings.Type: ApplicationFiled: January 31, 2013Publication date: July 31, 2014Applicant: LINKEDIN CORPORATIONInventors: Shakti Dhirendraji Sinha, Abhimanyu Lad, Ramesh Dommeti, Bradley Scott Mauney, Ashley Woodman Hall, Scott Blackburn
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Publication number: 20140214815Abstract: Systems and methods for searching for information within social networks are described. In some examples embodiments, a search assist system receives a query, such as a partial query, identifies two or more categories of data that include information satisfying the query, ranks the identified categories of data based on various selection criteria, and presents suggested search terms based on the rankings.Type: ApplicationFiled: January 31, 2013Publication date: July 31, 2014Applicant: LinkedIn CorporationInventors: Shakti Dhirendraji Sinha, Abhimanyu Lad, Ramesh Dommeti, Bradley Scott Mauney, Ashley Woodman Hall, Scott Blackburn
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Publication number: 20140129552Abstract: Techniques for ranking search results generated by a search engine are described. Consistent with some embodiments, a search engine processes a search query to identify member profiles of members of a social network service for presentation in a search results page or user interface. The member profiles are presented in the search results ordered based on a ranking score that is derived at least in part by identifying similarities in the member profile attributes of the member profiles satisfying the search query and the member profile of the person performing the search. Accordingly, to the extent that a member profile has similarities shared in common with the member profile of the member performing the search, that member profile is more likely to be presented more prominently in the search results.Type: ApplicationFiled: November 2, 2012Publication date: May 8, 2014Inventors: Shakti Dhirendraji Sinha, Ramesh Dommeti, Bradley Scott Mauney
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Publication number: 20130159293Abstract: A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity.Type: ApplicationFiled: March 23, 2012Publication date: June 20, 2013Applicant: Linkedln CorporationInventors: Anmol Bhasin, Jiong Wang, Abhishek Gupta, Alexis Pribula, Ramesh Dommeti