Topic and Goals
Paper Submission
Call For Papers (text)
Important Dates
Accepted Contributions
Workshop Schedule
Organization
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Accepted Contributions
There are two types of contributions accepted for this workshop: full
papers and position statements. The complete proceedings of the workshop
is available for download as a large pdf file. In addition, there is
also a zip file available containing
all of the papers as individual pdf files.
A summary of the results of this workshop is also available for download.
Full Papers |
Crossing the Rubicon for An Intelligent Advisor [pdf]
Razvan Andonie, J. Edward Russo, Rishi Dean
Explaining Recommendations: Satisfaction vs. Promotion [pdf]
Mustafa Bilgic, Raymond J. Mooney
Identifying Attack Models for Secure Recommendation [pdf]
Robin Burke, Bamshad Mobasher, Roman Zabicki, Runa Bhaumik
User-Specific Decision-Theoretic Accuracy Metrics for Collaborative Filtering [pdf]
Giuseppe Carenini
Off-Topic Recommendations [pdf]
Elyon DeKoven
Item-Triggered Recommendation for Identifying Potential Customers of Cold
Sellers in Supermarkets [pdf]
Han-Shen Huang, Koung-Lung Lin, Jane Yung-jen Hsu, Chun-Nan Hsu
The Good, Bad and the Indifferent: Explorations in Recommender System Health [pdf]
Benjamin J. Keller, Sun-mi Kim, N. Srinivas Vemuri, Naren Ramakrishnan,
Saverio Perugini
Impacts of Contextualized Communication of Privacy Practices and Personalization
Benefits on Purchase Behavior and Perceived Quality of Recommendation [pdf]
Alfred Kobsa, Max Teltzrow
InterestMap: Harvesting Social Network Profiles for Recommendations [pdf]
Hugo Liu, Pattie Maes
What Affects Printing Options? - Toward Personalization & Recommendation
System for Printing Devices [pdf]
Masashi Nakatomi, Soichiro Iga, Makoto Shinnishi, Tetsuro Nagatsuka, Atsuo
Shimada
P2P-based PVR Recommendation using Friends, Taste Buddies and Superpeers [pdf]
Johan Pouwelse, Michiel van Slobbe, Jun Wang, Henk Sips
DynamicLens: A Dynamic User-Interface for A Meta-Recommendation System [pdf]
J. Ben Schafer
Modeling a Dialogue Strategy for Personalized Movie Recommendations [pdf]
Pontus Wärnestål
Behavior-based Recommender Systems for Web Content [pdf]
Tingshao Zhu, Russ Greiner, Gerald Häubl, Bob
Price, Kevin Jewell
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Position Statements |
Who do trust? Combining Recommender Systems and Social Networking for Better
Advice [pdf]
Philip Bonhard
Recommender Systems Research at Yahoo! Research Labs [pdf]
Dennis Decoste, David Gleich, Tejaswi Kasturi, Sathiya Keerthi, Omid Madani,
Seung-Taek Park, David M. Pennock, Corey Porter, Sumit Sanghai, Farial
Shahnaz, Leonid Zhukov
A Multi-agent Smart User Model for Cross-domain Recommender Systems [pdf]
Gustavo González, Beatriz López, Josep Lluís
de la Rosa
Personalized Product Recommendations and Consumer Purchase Decisions [pdf]
Gerald Häubl, Kyle B. Murray
Toward a Personal Recommender System [pdf]
Bradley N. Miller
Beyond Idiot Savants: Recommendations and Common Sense [pdf]
Michael J. Pazzani
Towards More Personalized Navigation in Mobile Three-dimensional Virtual
Environments [pdf]
Teija Vainio
Issues of Applying Collaborative Filtering Recommendations in Information
Retrieval [pdf]
Xiangmin Zhang
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