RecSys 2011:
Chicago,
IL,
USA
Bamshad Mobasher, Robin D. Burke, Dietmar Jannach, Gediminas Adomavicius (Eds.):
Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011.
ACM 2011, ISBN 978-1-4503-0683-6 
Keynote talks
Invited tutorials:
tutorial program
Algorithms
- Liang Zhang, Deepak Agarwal, Bee-Chung Chen:
Generalizing matrix factorization through flexible regression priors.
13-20
- Nicola Barbieri, Gianni Costa, Giuseppe Manco, Riccardo Ortale:
Modeling item selection and relevance for accurate recommendations: a bayesian approach.
21-28
- Yu Zhao, Xinping Feng, Jianqiang Li, Bo Liu:
Shared collaborative filtering.
29-36
- Nathan Nan Liu, Xiangrui Meng, Chao Liu, Qiang Yang:
Wisdom of the better few: cold start recommendation via representative based rating elicitation.
37-44
Recommenders and the social web
Multi-dimensional recommendation,
context-awareness and group recommendation
- Liwei Liu, Nikolay Mehandjiev, Dong-Ling Xu:
Multi-criteria service recommendation based on user criteria preferences.
77-84
- Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin:
The effect of context-aware recommendations on customer purchasing behavior and trust.
85-92
- Sangkeun Lee, Sang-il Song, Minsuk Kahng, Dongjoo Lee, Sang-goo Lee:
Random walk based entity ranking on graph for multidimensional recommendation.
93-100
- Shunichi Seko, Takashi Yagi, Manabu Motegi, Shin-yo Muto:
Group recommendation using feature space representing behavioral tendency and power balance among members.
101-108
Methodological issues,
evaluation metrics and tools
Human factors
Emerging recommendation domains
Poster session 1
Poster session 2
- Matthias Braunhofer, Marius Kaminskas, Francesco Ricci:
Recommending music for places of interest in a mobile travel guide.
253-256
- Le Yu, Rong Pan, Zhangfeng Li:
Adaptive social similarities for recommender systems.
257-260
- Peter Forbes, Mu Zhu:
Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation.
261-264
- Francesca Guzzi, Francesco Ricci, Robin D. Burke:
Interactive multi-party critiquing for group recommendation.
265-268
- Wolfgang Woerndl, Johannes Huebner, Roland Bader, Daniel Gallego-Vico:
A model for proactivity in mobile, context-aware recommender systems.
273-276
- Elizabeth M. Daly, Werner Geyer:
Effective event discovery: using location and social information for scoping event recommendations.
277-280
- Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu:
Collaborative filtering with collective training.
281-284
- Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani:
Using Wikipedia to boost collaborative filtering techniques.
285-288
- Zhiang Wu, Jie Cao, Bo Mao, Youquan Wang:
Semi-SAD: applying semi-supervised learning to shilling attack detection.
289-292
- Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Fedelucio Narducci, Cataldo Musto:
Leveraging the linkedin social network data for extracting content-based user profiles.
293-296
- Gábor Takács, István Pilászy, Domonkos Tikk:
Applications of the conjugate gradient method for implicit feedback collaborative filtering.
297-300
- Linas Baltrunas, Bernd Ludwig, Francesco Ricci:
Matrix factorization techniques for context aware recommendation.
301-304
- Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme:
MyMediaLite: a free recommender system library.
305-308
- Pedro G. Campos, Fernando Díez, Manuel A. Sánchez-Montañés:
Towards a more realistic evaluation: testing the ability to predict future tastes of matrix factorization-based recommenders.
309-312
- Alexandros Karatzoglou:
Collaborative temporal order modeling.
313-316
- Lei Li, Li Zheng, Tao Li:
LOGO: a long-short user interest integration in personalized news recommendation.
317-320
- Bart P. Knijnenburg, Martijn C. Willemsen, Alfred Kobsa:
A pragmatic procedure to support the user-centric evaluation of recommender systems.
321-324
- Ioannis K. Paparrizos, Berkant Barla Cambazoglu, Aristides Gionis:
Machine learned job recommendation.
325-328
- Jian Wang, Badrul Sarwar, Neel Sundaresan:
Utilizing related products for post-purchase recommendation in e-commerce.
329-332
- Alejandro Bellogín, Pablo Castells, Iván Cantador:
Precision-oriented evaluation of recommender systems: an algorithmic comparison.
333-336
- Steven Bourke, Kevin McCarthy, Barry Smyth:
Power to the people: exploring neighbourhood formations in social recommender system.
337-340
- Luiz Augusto Sangoi Pizzato, Cameron Silvestrini:
Stochastic matching and collaborative filtering to recommend people to people.
341-344
- Shanchan Wu, William Rand, Louiqa Raschid:
Recommendations in social media for brand monitoring.
345-348
Industry half-day session:
demos and speaker Lapers
- Michael D. Ekstrand, Michael Ludwig, Jack Kolb, John Riedl:
LensKit: a modular recommender framework.
349-350
- Andrew T. Sabin, Chun Liang Chan:
myMicSound: an online sound-based microphone recommendation system.
351-352
- Aviram Dayan, Guy Katz, Naseem Biasdi, Lior Rokach, Bracha Shapira, Aykan Aydin, Roland Schwaiger, Radmila Fishel:
Recommenders benchmark framework.
353-354
Doctoral symposium
- Siamak Faridani:
Using canonical correlation analysis for generalized sentiment analysis, product recommendation and search.
355-358
- Markus Tschersich:
Design guidelines for mobile group recommender systems to handle inaccurate or missing location data.
359-362
- Yu Chen:
Interface and interaction design for group and social recommender systems.
363-366
- Shafiq Alam:
Intelligent web usage clustering based recommender system.
367-370
- Alejandro Bellogín:
Predicting performance in recommender systems.
371-374
- Jingjing Zhang:
Anchoring effects of recommender systems.
375-378
Workshop outlines
- Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin:
3rd workshop on context-aware recommender systems (CARS 2011).
379-380
- Amelie Anglade, Òscar Celma, Ben Fields, Paul Lamere, Brian McFee:
WOMRAD: 2nd workshop on music recommendation and discovery.
381-382
- Jill Freyne, Sarabjot Singh Anand, Ido Guy, Andreas Hotho:
3rd workshop on recommender systems and the social web.
383-384
- Alan Said, Shlomo Berkovsky, Ernesto William De Luca, Jannis Hermanns:
Challenge on context-aware movie recommendation: CAMRa2011.
385-386
- Iván Cantador, Peter Brusilovsky, Tsvi Kuflik:
Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011).
387-388
- Alexander Felfernig, Li Chen, Monika Mandl:
RecSys'11 workshop on human decision making in recommender systems.
389-390
- Neal Lathia, Daniele Quercia, Licia Capra, Jon Crowcroft:
Recsys'11 workshop outline PeMA 2011: personalization in mobile applications.
391-392
- Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang:
Workshop on novelty and diversity in recommender systems - DiveRS 2011.
393-394
- Martijn C. Willemsen, Dirk G. F. M. Bollen, Michael D. Ekstrand:
UCERSTI 2: second workshop on user-centric evaluation of recommender systems and their interfaces.
395-396
Last update Thu May 24 04:41:17 2012
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
