Proceedings
Proceedings of the Fifth ACM Conference on Recommender Systems (RecSys 2011)
Program Overview
- Sunday, October 23:
Pre-Conference Workshops - Sunday, October 23:
Doctoral Symposium - Monday, October 24 (morning):
Tutorials - Monday, October 24, to Wednesday, October 26:
Technical Program - Thursday, October 27:
Post-Conference Workshops
Schedule
Event Type
| Paper sessions (3-4 presentations each) |
| Special sessions (panels, keynotes, industry sessions) |
| Workshops, doctoral symposium, tutorials |
| Social events |
| Invitation only |
Room Information
Workshops
| Date | Event | Room |
|---|---|---|
| 23-Oct | CARS | Water Tower Parlor |
| 23-Oct | WOMRAD | Spire Parlor |
| 23-Oct | RSWEB | Hancock Parlor |
| 23-Oct | DiveRS | Burham 4 |
| 23-Oct | UCERSTI | Burham 4 |
| 27-Oct | CAMRa | Hancock Parlor |
| 27-Oct | HetRec | Water Tower Parlor |
| 27-Oct | Decisions | Spire Parlor |
| 27-Oct | PeMA | Burham 4 |
Tutorials
| Date | Event | Room |
|---|---|---|
| 24-Oct | Music Recommendation and Discovery Revisited | Hancock Parlor |
| 24-Oct | Robustness of Recommender Systems | Spire Parlor |
| 24-Oct | Recommendations as a Conversation with the User | Water Tower Parlor |
General
| Event | Room |
|---|---|
| Plenary sessions | Adams Ballroom |
| Banquet | Red Lacquer Ballroom |
| Poster Session | Main Lounge, 2nd floor, Union League Club of Chicago, 65 W. Jackson Ave. Dress code for the poster session: Men: Collared shirt (including turtleneck) and slacks (no jeans). Women: Slacks or skirt with blouse or sweater. |
Details
Session: Algorithms (Chair: Domonkos Tikk)
Monday, October 24, 14:00-15:45
- Liang Zhang, Deepak Agarwal and Bee-Chung Chen: Generalizing Matrix Factorization Through Flexible Regression Priors
- Nicola Barbieri, Gianni Costa, Giuseppe Manco and Riccardo Ortale: Modeling Item Selection and Relevance for Accurate Recommendations: a Bayesian Approach
- Yu Zhao, Xinping Feng, Jianqiang Li and Bo Liu: Shared Collaborative Filtering
- Nathan Liu, Xiangrui Meng, Chao Liu: Wisdom of the Better Few: Cold Start Recommendation via Representative based Rating Elicitation
Session: Recommenders and the Social Web (Chair: Sarab Singh Anand)
Tuesday, October 25, 8:30-10:15
- Heung-Nam Kim and Abdulmotaleb El Saddik: Personalized PageRank Vectors for Tag Recommendations: Inside FolkRank
- Mohsen Jamali, Tianle Huang and Martin Ester: A Generalized Stochastic Block Model for Recommendation in Social Rating Networks
- Panagiotis Symeonidis, Eleftherios Tiakas and Yannis Manolopoulos: Product Recommendation and Rating Prediction based on Multi-modal Social Networks
- Sibren Isaacman, Stratis Ioannidis, Augustin Chaintreau and Margaret Martonosi: Distributed Rating Prediction in User Generated Content Streams
Session: Multi-dimensional recommendation, context-awareness and group recommendation (Chair: Francesco Ricci)
Tuesday, October 25, 10:45-12:30
- Liwei Liu, Nikolay Mehandjiev and Ling Xu: Multi-Criteria Service Recommendation Based on User Criteria Preferences
- Michele Gorgoglione, Umberto Panniello and Alexander Tuzhilin: The Effect of Context-Aware Recommendations on Customer Purchasing Behavior and Trust
- Sangkeun Lee, Sang-Il Song, Minsuk Kahng, Dongjoo Lee and Sang-Goo Lee: Random Walk based Entity Ranking on Graph for Multidimensional Recommendation
- Shunichi Seko, Takashi Yagi, Manabu Motegi and Shinyo Muto: Group Recommendation using Feature Space representing Behavioral Tendency and Power Balance among Members
Session: Methodological issues, evaluation metrics and tools (Chair: Alexander Felfernig)
Tuesday, October 25, 14:00-15:45
- Saúl Vargas and Pablo Castells: Rank and Relevance in Novelty and Diversity Metrics for Recommender Systems
- Yehuda Koren and Joe Sill: OrdRec: An ordinal model for predicting personalized item rating distributions
- Harald Steck: Item Popularity and Recommendation Accuracy
- Michael D. Ekstrand, Michael Ludwig, Joseph A. Konstan and John T. Riedl: Rethinking the Recommender Research Ecosystem: Reproducibility, Openness, and LensKit
Session: Human factors (Chair: John Riedl)
Tuesday, October 25, 16:15-18:00
- Bart Knijnenburg, Niels Reijmer and Martijn Willemsen: Each to His Own: How Different Users Call for Different Interaction Methods in Recommender System
- E. Isaac Sparling and Shilad Sen: Rating: How difficult is it?
- Pearl Pu, Li Chen and Rong Hu: A User-Centric Evaluation Framework for Recommender Systems
Industry session I (Chair: Verus Pronk)
Wednesday, October 26, 8:30-10:15
- 8:30-9:40 – Keynote by Neel Sundaresan (eBay Labs): Recommender Systems at the Long Tail
- 9:40-10:15 – Invited talk and musical demo by Eric Bieschke (Pandora): Pandora Playlists
Industry session II (Chair: Yehuda Koren)
Wednesday, October 26, 10:45-12:30
Invited talks:
- Pankaj Gupta (Twitter): Recommendations and Discovery at Twitter
- Andrew Tomkins (Google): Recommendation problems in Social Networks
- Jon Sanders (Netflix): Suggestions to watch instantly
- Rajat Raina (Facebook): Learning Relevance in a Large-scale Social Network
Panel: Recommender Systems and the 'Filter Bubble'
Wednesday, October 26, 14:00-15:45 PM
The phrase "filter bubble" was coined by the author Eli Pariser in his best seller book with the same title. The book is a critique of the proliferation of personalization technologies across the Internet and its potential negative impact on the ability of internet users to be exposed to diverse sources of information and varied viewpoints. This panel discussion will explore this issue from the perspective of people working on personalization and recommendation technologies. The panelists will react to the notion of 'filter bubble' in general, and discuss a host of technical and theoretical issues that have relevance to this broader problem, including serendipity and diversity of recommendations, metrics that measure performance of recommendation and personalization based on factors other than predictive accuracy, user interfaces and their role in addressing this issue, and the integration of user feedback in personalization. There will be ample opportunity for audience participation and feedback.
Panelists:
- Paul Resnick, University of Michigan
- Joseph Konstan, University of Minnesota
- Anthony Jameson, DFKI - German Research Center for Artificial Intelligence
Moderator: Bamshad Mobasher, DePaul University
Session: Emerging recommendation domains (Chair: Pearl Pu)
Wednesday, October 26, 16:15-18:00
- Gideon Dror, Noam Koenigstein and Yehuda Koren: Yahoo! Music Recommendations: Modeling Music Ratings with Temporal Dynamics and Item Taxonomy
- Mohammad A. Tayebi, Mohsen Jamali, Martin Ester, Uwe Glasser and Richard Frank: CrimeWalker: A Recommendation Model for Suspect Investigation
- Ido Guy, Inbal Ronen and Ariel Raviv: Personalized Activity Streams: Sifting through the "River of News"