This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 211
Type: Invited
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #306104
Title: Collaborative Filtering for Web Applications
Author(s): Deepak Agarwal*+
Companies: Yahoo!
Address: , , ,
Keywords: hieararchical models ; matrix factorization ; online models

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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