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Ashvin Kannan

Researcher at LinkedIn

Publications -  25
Citations -  638

Ashvin Kannan is an academic researcher from LinkedIn. The author has contributed to research in topics: Advertising campaign & Common value auction. The author has an hindex of 13, co-authored 25 publications receiving 637 citations. Previous affiliations of Ashvin Kannan include Yahoo! & Nuance Communications.

Papers
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Patent

Adaptation of a speech recognition system across multiple remote sessions with a speaker

TL;DR: In this article, a technique for adaptation of a speech recognizing system across multiple remote communication sessions with a speaker is presented. But, the technique requires the speaker to engage in a training session.
Patent

System and method for positioning sponsored content in a social network interface

TL;DR: In this paper, a system and method optionally includes or utilizes a processor may receive a request for social network content for display in a position of a plurality of sponsored content positions in a newsfeed of a social network interface.
Patent

Voice interface to a social networking service

Ashvin Kannan
TL;DR: In this article, a machine may be configured to generate and provide, for example, a voice-user interface to a social networking service, which enables a member of the social network to access member profile information for other members of the network.
Patent

Speech recognition system to selectively utilize different speech recognition techniques over multiple speech recognition passes

TL;DR: In this paper, a multi-pass speech recognition system was proposed, in which a processor performs a first pass speech recognition technique on the spoken input and forms first pass results, each having an assigned score related to the certainty that the corresponding expression correctly matches the input.
Patent

System and method for generating functions to predict the clickability of advertisements

TL;DR: In this article, the authors present a method for predicting a frequency with which an advertisement displayed in response to a query will be selected using the analytics data and features associated with the one or more advertisements displayed by the advertisers.