Patents by Inventor Nikhil Rasiwasia
Nikhil Rasiwasia 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: 10275525Abstract: A method and system for mining trends around trending terms. The method includes determining a plurality of articles, from one or more websites, in relation to a first entity for a time period. The first entity is a trending term. The method also includes generating comment clusters for the plurality of articles. Each comment cluster is generated for associated article and includes plurality of user comments. The method further includes extracting one or more entities from plurality of user comments for each of the comment clusters, the one or more entities related to the first entity. Further, the method includes enabling selection of a second entity, from the one or more entities, by the user. Moreover, the method includes rendering one or more user comments corresponding to the first entity and the second entity for the time period. The system includes an electronic device, communication interface, memory, and processor.Type: GrantFiled: June 14, 2012Date of Patent: April 30, 2019Assignee: Excalibur IP, LLCInventors: Vidit Jain, Nikhil Rasiwasia
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Patent number: 9286548Abstract: Product images are used in conjunction with textual descriptions to improve classifications of product offerings. By combining cues from both text and image descriptions associated with products, implementations enhance both the precision and recall of product description classifications within the context of web-based commerce search. Several implementations are directed to improving those areas where text-only approaches are most unreliable. For example, several implementations use image signals to complement text classifiers and improve overall product classification in situations where brief textual product descriptions use vocabulary that overlaps with multiple diverse categories. Other implementations are directed to using text and images “training sets” to improve automated classifiers including text-only classifiers.Type: GrantFiled: May 30, 2014Date of Patent: March 15, 2016Assignee: Microsoft Technology LicensingInventors: Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke, Rakesh Agrawal
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Patent number: 9210327Abstract: Users are provided with feedback regarding blurriness of an image in real-time. When an image is received, a blur score is automatically generated in addition to a visual that indicates the extent of blurriness across the picture. The blur score is calculated by aggregating an image_blur_score and optionally a motion_blur_score. A user can also be provided with suggestions on improving image sharpness and help in determining if another image needs to be taken.Type: GrantFiled: December 2, 2013Date of Patent: December 8, 2015Assignee: YAHOO! INC.Inventors: Gaurav Aggarwal, Nikhil Rasiwasia, Kshitiz Garg, Vijay Mahadevan
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Publication number: 20150156419Abstract: Users are provided with feedback regarding blurriness of an image in real-time. When an image is received, a blur score is automatically generated in addition to a visual that indicates the extent of blurriness across the picture. The blur score is calculated by aggregating an image_blur_score and optionally a motion_blur_score. A user can also be provided with suggestions on improving image sharpness and help in determining if another image needs to be taken.Type: ApplicationFiled: December 2, 2013Publication date: June 4, 2015Applicant: YAHOO! INC.Inventors: Gaurav Aggarwal, Nikhil Rasiwasia, Kshitiz Garg, Vijay Mahadevan
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Publication number: 20140270497Abstract: Product images are used in conjunction with textual descriptions to improve classifications of product offerings. By combining cues from both text and image descriptions associated with products, implementations enhance both the precision and recall of product description classifications within the context of web-based commerce search. Several implementations are directed to improving those areas where text-only approaches are most unreliable. For example, several implementations use image signals to complement text classifiers and improve overall product classification in situations where brief textual product descriptions use vocabulary that overlaps with multiple diverse categories. Other implementations are directed to using text and images “training sets” to improve automated classifiers including text-only classifiers.Type: ApplicationFiled: May 30, 2014Publication date: September 18, 2014Applicant: Microsoft CorporationInventors: Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke, Rakesh Agrawal
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Patent number: 8768050Abstract: Product images are used in conjunction with textual descriptions to improve classifications of product offerings. By combining cues from both text and image descriptions associated with products, implementations enhance both the precision and recall of product description classifications within the context of web-based commerce search. Several implementations are directed to improving those areas where text-only approaches are most unreliable. For example, several implementations use image signals to complement text classifiers and improve overall product classification in situations where brief textual product descriptions use vocabulary that overlaps with multiple diverse categories. Other implementations are directed to using text and images “training sets” to improve automated classifiers including text-only classifiers.Type: GrantFiled: June 13, 2011Date of Patent: July 1, 2014Assignee: Microsoft CorporationInventors: Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke, Rakesh Agrawal
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Publication number: 20130339354Abstract: A method and system for mining trends around trending terms. The method includes determining a plurality of articles, from one or more websites, in relation to a first entity for a time period. The first entity is a trending term. The method also includes generating comment clusters for the plurality of articles. Each comment cluster is generated for associated article and includes plurality of user comments. The method further includes extracting one or more entities from plurality of user comments for each of the comment clusters, the one or more entities related to the first entity. Further, the method includes enabling selection of a second entity, from the one or more entities, by the user. Moreover, the method includes rendering one or more user comments corresponding to the first entity and the second entity for the time period. The system includes an electronic device, communication interface, memory, and processor.Type: ApplicationFiled: June 14, 2012Publication date: December 19, 2013Applicant: YAHOO! INC.Inventors: Vidit JAIN, Nikhil RASIWASIA
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Publication number: 20120314941Abstract: Product images are used in conjunction with textual descriptions to improve classifications of product offerings. By combining cues from both text and image descriptions associated with products, implementations enhance both the precision and recall of product description classifications within the context of web-based commerce search. Several implementations are directed to improving those areas where text-only approaches are most unreliable. For example, several implementations use image signals to complement text classifiers and improve overall product classification in situations where brief textual product descriptions use vocabulary that overlaps with multiple diverse categories. Other implementations are directed to using text and images “training sets” to improve automated classifiers including text-only classifiers.Type: ApplicationFiled: June 13, 2011Publication date: December 13, 2012Applicant: Microsoft CorporationInventors: Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke, Rakesh Agrawal