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
- Neel Sundaresan: Recommender systems at the long tail. 1-6
Invited tutorials: tutorial program
- Neil J. Hurley: Robustness of recommender systems. 9-10
- Daniel Tunkelang: Recommendations as a conversation with the user. 11-12
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
- 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
- Heung-Nam Kim, Abdulmotaleb El-Saddik: Personalized PageRank vectors for tag recommendations: inside FolkRank. 45-52
- Mohsen Jamali, Tianle Huang, Martin Ester: A generalized stochastic block model for recommendation in social rating networks. 53-60
- Panagiotis Symeonidis, Eleftherios Tiakas, Yannis Manolopoulos: Product recommendation and rating prediction based on multi-modal social networks. 61-68
- Sibren Isaacman, Stratis Ioannidis, Augustin Chaintreau, Margaret Martonosi: Distributed rating prediction in user generated content streams. 69-76
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
- Saul Vargas, Pablo Castells: Rank and relevance in novelty and diversity metrics for recommender systems. 109-116
- Yehuda Koren, Joe Sill: OrdRec: an ordinal model for predicting personalized item rating distributions. 117-124
- Harald Steck: Item popularity and recommendation accuracy. 125-132
- Michael D. Ekstrand, Michael Ludwig, Joseph A. Konstan, John Riedl: Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit. 133-140
Human factors
- Bart P. Knijnenburg, Niels J. M. Reijmer, Martijn C. Willemsen: Each to his own: how different users call for different interaction methods in recommender systems. 141-148
Emerging recommendation domains
- Noam Koenigstein, Gideon Dror, Yehuda Koren: Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. 165-172
- Mohammad A. Tayebi, Mohsen Jamali, Martin Ester, Uwe Glässer, Richard Frank: CrimeWalker: a recommendation model for suspect investigation. 173-180
- Ido Guy, Inbal Ronen, Ariel Raviv: Personalized activity streams: sifting through the "river of news". 181-188
Poster session 1
- Masoud Makrehchi: Social link recommendation by learning hidden topics. 189-196
- Sarabjot Singh Anand, Nathan Griffiths: A market-based approach to address the new item problem. 205-212
- Kibeom Lee, Kyogu Lee: My head is your tail: applying link analysis on long-tailed music listening behavior for music recommendation. 213-220
- Yu Xin, Harald Steck: Multi-value probabilistic matrix factorization for IP-TV recommendations. 221-228
- Oliver Jojic, Manu Shukla, Niranjan Bhosarekar: A probabilistic definition of item similarity. 229-236
- Shankar Prawesh, Balaji Padmanabhan: The "top N" news recommender: count distortion and manipulation resistance. 237-244
- Quan Yuan, Li Chen, Shiwan Zhao: Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation. 245-252
Poster session 2
- Matthias Braunhofer, Marius Kaminskas, Francesco Ricci: Recommending music for places of interest in a mobile travel guide. 253-256
- 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
- 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
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last updated on 2013-06-19T201401 by the dblp team