CFP: Deadline extension- *June 6th* SIGIR 2008 Workshop on Information Retrieval for Advertising
Einat Amitay <einat-7z/[email protected]> Wed, 28 May 2008 10:35:03 +0300
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Deadline extension: *June 6th*: SIGIR 2008 Workshop on Information
Retrieval for Advertising
The First Workshop on Information Retrieval for Advertising
Collocated with SIGIR 2008
http://research.microsoft.com/workshops/ira2008/
Paper Submissions Due: June 6th 2008 (extended)
Online advertising is a multi-billion dollar industry that has become a
significant component of the Web browsing experience. Online advertising
systems incorporate many information retrieval techniques by combining
content analysis, user interaction models, and commercial constraints.
Advances in online advertising have come from integrating several core
research areas: information retrieval, data mining, machine learning, and
user modeling.
The workshop will serve as an open forum for discussion of new ideas and
current research related to information retrieval topics relevant to online
advertising. The outcome will be a set of full and short papers covering a
variety of topics. The short paper format will allow researchers new to the
area to actively participate and explore novel themes. It will also enable
researchers without access to extensive empirical data to propose ideas and
experiments. We also expect the workshop to help develop a community of
researchers interested in this area, and yield future collaboration and
exchanges.
Despite its commercial significance, advertising is a rather young field of
research. This workshop will help the emerging research community better
organize and develop a common perspective. The workshop will serve as a
forum for researchers and industry participants to exchange latest ideas
and
best practices while encouraging future breakthroughs. It will also aid in
fostering collaboration between industry and academia.
Topics of interest include (but are not limited to):
* Similarities and differences between search and advertising systems
* Measuring ad text and landing page appeal
* Commercial intent estimation for search queries
* Ad matching algorithms
* Personalized and customized advertising
* Automatic ad generation
* Local and mobile advertising
* Preserving user, advertiser, and publisher privacy
* Web content analysis for ad selection (keyword extraction and
categorization)
* Detection of aggregators and 'spam' advertisers
* Advertising in faceted search and category-based ads
* Geo-targeting and location aware information retrieval
* User centered and user behavioral targeting
* Ads as information supply
* Machine learning for ad selection and ranking
* Ad evaluation techniques and measures
We solicit both full (8 page) and short (4 page) papers. Additional details
and submission instructions are available on the workshop website:
http://research.microsoft.com/workshops/ira2008/
Key dates (updated):
* Paper Submissions Due: June 6th 2008 (extended)
* Author Notification Date: June 23rd 2008
* Camera Ready Date: June 30th 2008
* Workshop Date: July 24nd 2008
Organizers:
* Ewa Dominowska (Microsoft)
* Eugene Agichtein (Emory University)
* Evgeniy Gabrilovich (Yahoo! Research)
* James Shanahan (Independant Consultant)
Program Committee (partial list):
* Misha Bilenko (Microsoft Research)
* Andrei Broder (Yahoo! Research)
* Max Chickering (Microsoft Research)
* Brian Davison (Lehigh University)
* Ayman Farahat
* Susan Dumais (Microsoft Research)
* Anindya Ghose (New York University)
* Jason Hartline (Northwestern University)
* Monika Henzinger (Google)
* Vanja Josifovski (Yahoo! Research)
* Oren Kurland (Technion)
* Ping Li (Cornell University)
* Chris Meek (Microsoft Research)
* Donald Metzler (Yahoo! Research)
* Vanessa Murdock (Yahoo! Research)
* Jan Pedersen (Yahoo! Research)
* Yan Qu (Advertising.com)
* Matthew Richardson (Microsoft Research)
* Arun Surendran (Microsoft AdLabs)
* Roumen Vragov (City University of New York)
* Ryen White (Microsoft Research)
* Yi Zhang (University of California)
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<p><br>
Deadline extension: *June 6th*: SIGIR 2008 Workshop on Information<br>
Retrieval for Advertising<br>
<br>
The First Workshop on Information Retrieval for Advertising<br>
Collocated with SIGIR 2008<br>
<a href="http://research.microsoft.com/workshops/ira2008/">http://research.<wbr>microsoft.<wbr>com/workshops/<wbr>ira2008/</a><br>
<br>
Paper Submissions Due: June 6th 2008 (extended)<br>
<br>
Online advertising is a multi-billion dollar industry that has become a<br>
significant component of the Web browsing experience. Online advertising<br>
systems incorporate many information retrieval techniques by combining<br>
content analysis, user interaction models, and commercial constraints.<br>
Advances in online advertising have come from integrating several core<br>
research areas: information retrieval, data mining, machine learning, and<br>
user modeling.<br>
<br>
The workshop will serve as an open forum for discussion of new ideas and<br>
current research related to information retrieval topics relevant to online<br>
advertising. The outcome will be a set of full and short papers covering a<br>
variety of topics. The short paper format will allow researchers new to the<br>
area to actively participate and explore novel themes. It will also enable<br>
researchers without access to extensive empirical data to propose ideas and<br>
experiments. We also expect the workshop to help develop a community of<br>
researchers interested in this area, and yield future collaboration and<br>
exchanges.<br>
<br>
Despite its commercial significance, advertising is a rather young field of<br>
research. This workshop will help the emerging research community better<br>
organize and develop a common perspective. The workshop will serve as a<br>
forum for researchers and industry participants to exchange latest ideas<br>
and<br>
best practices while encouraging future breakthroughs. It will also aid in<br>
fostering collaboration between industry and academia.<br>
<br>
Topics of interest include (but are not limited to):<br>
* Similarities and differences between search and advertising systems<br>
* Measuring ad text and landing page appeal<br>
* Commercial intent estimation for search queries<br>
* Ad matching algorithms<br>
* Personalized and customized advertising<br>
* Automatic ad generation<br>
* Local and mobile advertising<br>
* Preserving user, advertiser, and publisher privacy<br>
* Web content analysis for ad selection (keyword extraction and<br>
categorization)<br>
* Detection of aggregators and 'spam' advertisers<br>
* Advertising in faceted search and category-based ads<br>
* Geo-targeting and location aware information retrieval<br>
* User centered and user behavioral targeting<br>
* Ads as information supply<br>
* Machine learning for ad selection and ranking<br>
* Ad evaluation techniques and measures<br>
<br>
We solicit both full (8 page) and short (4 page) papers. Additional details<br>
and submission instructions are available on the workshop website:<br>
<a href="http://research.microsoft.com/workshops/ira2008/">http://research.<wbr>microsoft.<wbr>com/workshops/<wbr>ira2008/</a><br>
<br>
Key dates (updated):<br>
* Paper Submissions Due: June 6th 2008 (extended)<br>
* Author Notification Date: June 23rd 2008<br>
* Camera Ready Date: June 30th 2008<br>
* Workshop Date: July 24nd 2008<br>
<br>
Organizers:<br>
* Ewa Dominowska (Microsoft)<br>
* Eugene Agichtein (Emory University)<br>
* Evgeniy Gabrilovich (Yahoo! Research)<br>
* James Shanahan (Independant Consultant)<br>
<br>
Program Committee (partial list):<br>
* Misha Bilenko (Microsoft Research)<br>
* Andrei Broder (Yahoo! Research)<br>
* Max Chickering (Microsoft Research)<br>
* Brian Davison (Lehigh University)<br>
* Ayman Farahat<br>
* Susan Dumais (Microsoft Research)<br>
* Anindya Ghose (New York University)<br>
* Jason Hartline (Northwestern University)<br>
* Monika Henzinger (Google)<br>
* Vanja Josifovski (Yahoo! Research)<br>
* Oren Kurland (Technion)<br>
* Ping Li (Cornell University)<br>
* Chris Meek (Microsoft Research)<br>
* Donald Metzler (Yahoo! Research)<br>
* Vanessa Murdock (Yahoo! Research)<br>
* Jan Pedersen (Yahoo! Research)<br>
* Yan Qu (Advertising.<wbr>com)<br>
* Matthew Richardson (Microsoft Research)<br>
* Arun Surendran (Microsoft AdLabs)<br>
* Roumen Vragov (City University of New York)<br>
* Ryen White (Microsoft Research)<br>
* Yi Zhang (University of California)<br>
<br>
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