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Anand Madhavan

from San Jose, CA
Age ~45
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Also known as:
Anand Madavan
Phone and address:
4913 Anna Dr, San Jose, CA 95124
(408) 263-8407
Related to:
Nirupama MadhavanNirupama Madhavan, 44Umesh Madhavan, 50Arvind Madhavan, 39
Connected to:
Arti Madhavan, 52Arvind Madhavan, 37Deepthi Madhava, 43Dilip Madhavan, 46Mahesh K Madhavan, 53Mhahesh Madhavan, 48Nikhil Madhav, 38Nithya Madhavan, 38Nitya Madhavan, 46Padmashri Madhavamurthy, 51

Anand Madhavan Phones & Addresses

  • 4913 Anna Dr, San Jose, CA 95124 (408) 263-8407
  • Round Rock, TX
  • 3665 Benton St, Santa Clara, CA 95051 (408) 246-2960
  • 755 Capitol Ave, Milpitas, CA 95035 (408) 263-8407
  • Tracy, CA
  • Sunnyvale, CA
  • Lawrence, KS
  • 2183 Esperanca Ave, Santa Clara, CA 95054

Work

Company: Equilar Nov 2014 to Nov 2017 Position: Senior director of product management - data products and platform

Education

School / High School: Stanford University 2013 to 2014 Specialities: Entrepreneurship

Skills

Product Management • Monetization • Web Applications • E Commerce • Start Ups • Product Development • Integration • Agile Methodologies • Search Advertising • Web Development • Entrepreneurship • Engineering Management • Architecture • Mobile Devices • Personalization • Behavioral Targeting • Software Development • Product Leadership • Rest • Mobile Applications • User Experience • Software Engineering • Organic Search • Software Architecture

Languages

English • Hindi • Kannada • Tamil

Interests

Lockerz • Technology • Education • The Big Bang Theory (Tv Series) • Finance • Harvard Business Review • Yahoo • Business • Ted • Adkeeper • Journalism • National Geographic • Travel

Industries

Computer Software

Resumes

Resumes

Anand Madhavan Photo 1

Vice President, Product Management, Conversational Ai Platform

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Location:
4913 Anna Dr, San Jose, CA 95124
Industry:
Computer Software
Work:
Equilar Nov 2014 - Nov 2017
Senior Director of Product Management - Data Products and Platform
Chegg Inc. Oct 2011 - Oct 2014
Product Leader - Search and Personalization
Nominum Nov 2010 - Oct 2011
Principal Product Architect, Social Products
Lockerz, Llc Oct 2009 - Oct 2010
Director, Social Commerce
Yahoo Aug 2007 - Dec 2009
Manager, Data Analytics, Monetization and Operability
Education:
Stanford University 2013 - 2014
The University of Kansas 2001 - 2003
Masters, Computer Science Anna University 1996 - 2000
Bachelors, Computer Science Lisieux Matriculation Higher Secondary School
Kumaraguru College of Technology
Skills:
Product Management
Monetization
Web Applications
E Commerce
Start Ups
Product Development
Integration
Agile Methodologies
Search Advertising
Web Development
Entrepreneurship
Engineering Management
Architecture
Mobile Devices
Personalization
Behavioral Targeting
Software Development
Product Leadership
Rest
Mobile Applications
User Experience
Software Engineering
Organic Search
Software Architecture
Interests:
Lockerz
Technology
Education
The Big Bang Theory (Tv Series)
Finance
Harvard Business Review
Yahoo
Business
Ted
Adkeeper
Journalism
National Geographic
Travel
Languages:
English
Hindi
Kannada
Tamil

Publications

Us Patents

Temporal Targeting Of Advertisements

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US Patent:
7672937, Mar 2, 2010
Filed:
Apr 11, 2007
Appl. No.:
11/786238
Inventors:
Anand Madhavan - Milpitas CA, US
Shyam Kapur - Sunnyvale CA, US
Assignee:
Yahoo, Inc. - Sunnyvale CA
International Classification:
G06F 17/30
H04N 7/16
US Classification:
707 3, 725 29
Abstract:
A system and method utilize temporal targeting of content, such as advertisements. The targeting may be based on time of day, day of year, season or upcoming holidays. In addition, prior search history may be utilized to determine current popularity and/or predict future popularity for a particular concept that may be used for targeting.

Vertical Search Expansion, Disambiguation, And Optimization Of Search Queries

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US Patent:
7805441, Sep 28, 2010
Filed:
Mar 6, 2006
Appl. No.:
11/370258
Inventors:
Anand Madhavan - Sunnyvale CA, US
Matthew Carinio - San Luis Obispo CA, US
Darshan Kantak - Pasadena CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 17/30
US Classification:
707728, 707713, 707731
Abstract:
A system and method to facilitate expansion, disambiguation, and optimization of search queries over a network wherein an original query received from a user is parsed to obtain at least one query term. A plurality of keywords related contextually to one or more query terms are further retrieved from a database. Finally, a set of modified queries is generated, each modified query further comprising at least one query term and at least one retrieved keyword.

Targeting Of Advertisements Based On Mutual Information Sharing Between Devices Over A Network

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US Patent:
8180674, May 15, 2012
Filed:
Oct 3, 2006
Appl. No.:
11/542874
Inventors:
Anand Madhavan - Sunnyvale CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 1449
Abstract:
A system and method to facilitate targeting of advertisements based on mutual information sharing between devices over a network are described. Users access an entity over a network and further initiate various events, which are subsequently captured by selective processing servers within the network-based entity. Each of such events or actions initiated by the user is associated with one or more categories and is further stored within the entity along the respective categories. Subsequently, if the user connects to one or more media devices, and the media devices are coupled to the entity via the network, then the entity selects advertisements to be displayed within the viewing area of the media device, such that each advertisement is related to the stored events or actions and their respective categories. Alternatively, a user connects to one or more media devices and further performs specific actions. The actions are then transmitted to the entity via the network and are stored within the entity along with respective categories associated with each user action.

Content-Management System For User Behavior Targeting

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US Patent:
8180769, May 15, 2012
Filed:
Jun 2, 2005
Appl. No.:
11/144234
Inventors:
Hongche Liu - Fremont CA, US
Anand Madhavan - Milpitas CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 7/00
US Classification:
707732, 707737, 707748, 705 144
Abstract:
A system including a plurality of web servers configured to serve base content and relevant content to a user system; a set of additional-content servers configured to serve the relevant content to the web servers if units in the user profile match units associated with the relevant content; a parsing server configured to extract the units in the user profile from the base content requested by the user and generate a ranked list of the units in the user profile; and a unit-matching module configured to determine whether the units in the user profile match units associated with the relevant content if the user requests the base content, wherein the web servers are configured to serve the base content and the relevant content if the units in the user profile match units associated with the relevant content.

Content Presentation And Management System Associating Base Content And Relevant Additional Content

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US Patent:
20050154746, Jul 14, 2005
Filed:
Apr 21, 2004
Appl. No.:
10/829814
Inventors:
Hongche Liu - Fremont CA, US
Anand Madhavan - Milpitas CA, US
Majid Mohazzab - Saratoga CA, US
Hongfeng Yin - Cupertino CA, US
Eric Leu - San Jose CA, US
Assignee:
Yahoo!, Inc. - Sunnyvale CA
International Classification:
G06F017/00
US Classification:
707101000
Abstract:
A system for determining associations between base content and relevant content and for publishing the base content and relevant content on a client browser. The system includes a parsing module configured to parse the base content to form parsed base content; a unit-dictionary module including a plurality of query units; a unit-extraction module configured to extract query units included in the unit dictionary from the parsed base content, wherein the query units extracted from the base content are referred to as the extracted-query units; a unit-ranking module configured to rank the extracted-query units based on at least one of relevance scores and revenue-generation amounts for the query units; and a unit-matching module configured to generate at least one association between the base content and the relevant content based on whether the extracted-query units and at least one of query units and keywords associated with the relevant content are the same.

Vertical Search Expansion, Disambiguation, And Optimization Of Search Queries

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US Patent:
20070208706, Sep 6, 2007
Filed:
Mar 6, 2006
Appl. No.:
11/370246
Inventors:
Anand Madhavan - Sunnyvale CA, US
Matthew Carinio - San Luis Obispo CA, US
Darshan Kantak - Pasadena CA, US
International Classification:
G06F 17/30
US Classification:
707003000
Abstract:
A system and method to facilitate expansion, disambiguation, and optimization of search queries over a network wherein an original query received from a user is parsed to obtain at least one query term. One or more filtered queries are retrieved from a database, each of the filtered queries corresponding to one or more advertising offers related contextually to the at least one query term. Selection of advertising content associated with the advertising offers is optimized based on one or more predetermined parameters, the advertising content to be displayed for the user in conjunction with query results of the original query and the one or more filtered queries.

Targeting Of Buzz Advertising Information

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US Patent:
20070239452, Oct 11, 2007
Filed:
Mar 31, 2006
Appl. No.:
11/394819
Inventors:
Anand Madhavan - Sunnyvale CA, US
Kashyap Lodhiya - Sunnyvale CA, US
International Classification:
G10L 15/00
US Classification:
704252000
Abstract:
A system and method to facilitate targeting of advertising based on buzz-related information in a network, wherein users access an entity through the network, such as the Internet, and request content from the entity or initiate other events based on various topics of interest at the time of each event. These topics of interests, also referred to as buzz data, are aggregated over time as temporal interests for certain categories. The buzz data corresponding to one or more relevant topics of interest for a majority of users is stored and updated continuously. Subsequent to receipt of the request for content from a user, the requested content and buzz advertising information related to selected buzz data are retrieved, the buzz advertising information being targeted to the user viewing the page or the requested content based on one or more predetermined parameters associated with the user or the content. Finally, the retrieved content and buzz advertising information are displayed to the user.

Targeting Of Advertisements Based On Mutual Information Sharing Between Devices Over A Network

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US Patent:
20080082414, Apr 3, 2008
Filed:
Nov 17, 2006
Appl. No.:
11/601274
Inventors:
Anand Madhavan - Sunnyvale CA, US
International Classification:
G06Q 30/00
US Classification:
705 14
Abstract:
A system and method to facilitate targeting of advertisements based on mutual information sharing between devices over a network are described. Users access an entity over a network and further initiate various events, which are subsequently captured by selective processing servers within the network-based entity. Each of such events or actions initiated by the user is associated with one or more categories and is further stored within the entity along the respective categories. Subsequently, if the user connects to one or more media devices, and the media devices are coupled to the entity via the network, then the entity selects advertisements to be displayed within the viewing area of the media device, such that each advertisement is related to the stored events or actions and their respective categories. Alternatively, a user connects to one or more media devices and further performs specific actions. The actions are then transmitted to the entity via the network and are stored within the entity along with respective categories associated with each user action. Subsequently, if the user connects to the entity through a client machine and through the network, the entity selects advertisements to be displayed within the display area of the client machine along with content information requested by the user, such that each selected advertisement is related to the previously stored events or actions and their respective categories.
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Anand Madhavan from San Jose, CA, age ~45 Get Report