[Colloq] CCIS Colloquium - Going on in 10 minutes
Lynne Panarese
panarese at ccs.neu.edu
Fri Apr 29 10:48:59 EDT 2011
The College of Computer and Information Science presents:
CCIS Colloquium
Title: Algorithmic Recommender Systems
Speaker: Boaz Patt-Shamir, Tel Aviv University
When: Friday, April 29, 2011, 11 AM
Where: 366 WVH
Abstract:
Recommender systems help users identify objects they may find
interesting, where objects may be books to read, films to watch, web
pages to browse, and even other users to contact. Formally, the input
to the system is the known preferences of the users, as deduced
somehow from their past choices. While many interesting ideas have
been developed to analyze characteristics of users (or objects) based
on past choices, this approach suffers from a foundational theoretical
flaw: feedback is ignored. Put simply, the setting is such that
choices determine recommendations, but recommendations are supposed to
influence choices. In a recent line of work this gap was bridged by a
simple algorithmic model that assumes that the system may ask the
user's opinion on any object, and not only make recommendations about
supposedly `nice' objects. Typically, algorithms in this model ask
users for their opinions on controversial objects, and in return, the
output consists of almost complete reconstruction of user
preferences. In this talk we discuss this model and survey some basic
and recent results. Surprisingly, it turns out that there are
algorithms that can reconstruct user preferences (with high
probability), using only a little (polylog factor) more questions than
the minimum possible.
Short Bio: Boaz Patt-Shamir has been a Professor of Computer Science in Tel Aviv University since 1997, where he directs the laboratory for distributed algorithms. He received his BSc in Mathematics and Computer Science from Tel Aviv University, his MSc from Weizmann Institute, and his PhD from MIT. His interests include distributed network algorithms and algorithms for communication networks. In 2002-2004 he has spent a sabbatical in HP Labs in Cambridge, Massachusetts, where he became interested in recommendation systems.
Host: Rajmohan Rajaraman
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