This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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211
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Type:
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Invited
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Date/Time:
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Monday, August 2, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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Abstract - #306104 |
Title:
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Collaborative Filtering for Web Applications
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Author(s):
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Deepak Agarwal*+
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Companies:
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Yahoo!
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Address:
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, , ,
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Keywords:
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hieararchical models ;
matrix factorization ;
online models
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Abstract:
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I will begin with an overview of statistical challenges that arise in recommender system problems for web applications like content optimization, online advertising. I will then describe some modeling solutions for a content optimization problem that arises in the context of the Yahoo! Front Page. In particular, I will discuss time series models to track item popularity, explore-exploit/sequential design schemes to enhance performance and matrix factorization models to personalize content to users. I will also provide examples of other applications where the techniques are useful and end with discussion of some open problems in the area.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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