Patents by Inventor Mani Abrol

Mani Abrol 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: 8793239
    Abstract: Techniques are provided for the efficient location, processing, and retrieval of local product information derived from web pages generally locatable through form queries submitted to web pages often referred to as the “deep” or “hidden” web. In an embodiment, information such as product information and dealer-location information is located on a web page form such as a dealer-locator form. After location of a suitable web page form, editorial wrapping is performed to create an automated information extraction process. Using the automated information extractor, deep-web crawling is performed. A grid-based extraction of individual business records is performed, and matching and ingestion are performed in conjunction with a business listing database. Finally, metadata tags are added to entries in the business listing database. Metadata tags also may be added to entries in other databases.
    Type: Grant
    Filed: October 8, 2009
    Date of Patent: July 29, 2014
    Assignee: Yahoo! Inc.
    Inventors: Nilesh Dalvi, Raghu Ramakrishnan, Vinay Kakade, Arup Kumar Choudhury, Sathiya Keerthi Selvaraj, Philip Bohannon, Mani Abrol, David Ciemiewicz, Arun Shankar Iyer, Vipul Agarwal, Alok S. Kirpal
  • Publication number: 20110113063
    Abstract: A method for identifying a brand name is described herein. The method involves obtaining category keywords associated with a category, designating a subgroup of the category keywords as brand name keywords for a particular brand name, receiving a search term, determining that the search term is a brand name keyword, and identifying the particular brand name corresponding to the brand name keyword.
    Type: Application
    Filed: November 9, 2009
    Publication date: May 12, 2011
    Inventors: Bob Schulman, Sathiya Keerthi Selvaraj, Vinay Kakade, Mani Abrol, Amit Basu, Arun Shankar Iyer, Philip Bohannon
  • Publication number: 20110087646
    Abstract: Techniques are provided for the efficient location, processing, and retrieval of local product information derived from web pages generally locatable through form queries submitted to web pages often referred to as the “deep” or “hidden” web. In an embodiment, information such as product information and dealer-location information is located on a web page form such as a dealer-locator form. After location of a suitable web page form, editorial wrapping is performed to create an automated information extraction process. Using the automated information extractor, deep-web crawling is performed. A grid-based extraction of individual business records is performed, and matching and ingestion are performed in conjunction with a business listing database. Finally, metadata tags are added to entries in the business listing database. Metadata tags also may be added to entries in other databases.
    Type: Application
    Filed: October 8, 2009
    Publication date: April 14, 2011
    Inventors: Nilesh Dalvi, Raghu Ramakrishnan, Vinay Kakade, Arup Kumar Choudhury, Sathiya Keerthi Selvaraj, Philip Bohannon, Mani Abrol, David Ciemiewicz, Arun Shankar Iyer, Vipul Agarwal, Alok S. Kirpal
  • Patent number: 6738764
    Abstract: A method of ranking search results includes producing a relevance score for a document in view of a query. A similarity score is calculated for the query utilizing a feature vector that characterizes attributes and query words associated with the document. A rank value is assigned to the document based upon the relevance score and the similarity score.
    Type: Grant
    Filed: May 8, 2001
    Date of Patent: May 18, 2004
    Assignee: Verity, Inc.
    Inventors: Jianchang Mao, Mani Abrol, Rajat Mukherjee, Michel Tourn, Prabhakar Raghavan
  • Publication number: 20020169754
    Abstract: A method of ranking search results includes producing a relevance score for a document in view of a query. A similarity score is calculated for the query utilizing a feature vector that characterizes attributes and query words associated with the document. A rank value is assigned to the document based upon the relevance score and the similarity score.
    Type: Application
    Filed: May 8, 2001
    Publication date: November 14, 2002
    Inventors: Jianchang Mao, Mani Abrol, Rajat Mukherjee, Michel Tourn, Prabhakar Raghavan