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RecSys 2009: New York, NY, USA
- Lawrence D. Bergman, Alexander Tuzhilin, Robin D. Burke, Alexander Felfernig, Lars Schmidt-Thieme:
Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009. ACM 2009, ISBN 978-1-60558-435-5 - Francisco J. Martin:
Recsys'09 industrial keynote: top 10 lessons learned developing deploying and operating real-world recommender systems. 1-2 - Michel Wedel, Roland T. Rust, Tuck Siong Chung:
Up close and personalized: a marketing view of recommendation systems. 3-4 - Benjamin M. Marlin
, Richard S. Zemel:
Collaborative prediction and ranking with non-random missing data. 5-12
Algorithms I
- Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon:
A spatio-temporal approach to collaborative filtering. 13-20 - Seung-Taek Park, Wei Chu:
Pairwise preference regression for cold-start recommendation. 21-28 - Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
Ordering innovators and laggards for product categorization and recommendation. 29-36 - Akhmed Umyarov, Alexander Tuzhilin:
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models. 37-44
Tags and social networks
- Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher
The impact of ambiguity and redundancy on tag recommendation in folksonomies. 45-52 - Ido Guy, Naama Zwerdling, David Carmel, Inbal Ronen, Erel Uziel, Sivan Yogev, Shila Ofek-Koifman:
Personalized recommendation of social software items based on social relations. 53-60 - Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl
Latent dirichlet allocation for tag recommendation. 61-68 - Yi Zhen, Wu-Jun Li, Dit-Yan Yeung:
TagiCoFi: tag informed collaborative filtering. 69-76
Applications
- Ranieri Baraglia, Fidel Cacheda
Search shortcuts: a new approach to the recommendation of queries. 77-84 - Jill Freyne, Michal Jacovi, Ido Guy, Werner Geyer:
Increasing engagement through early recommender intervention. 85-92 - István Pilászy, Domonkos Tikk:
Recommending new movies: even a few ratings are more valuable than metadata. 93-100 - Paolo Viappiani, Craig Boutilier:
Regret-based optimal recommendation sets in conversational recommender systems. 101-108
Algorithms II
- Xinlong Bao, Lawrence Bergman, Rich Thompson:
Stacking recommendation engines with additional meta-features. 109-116 - Asela Gunawardana, Christopher Meek:
A unified approach to building hybrid recommender systems. 117-124 - Yue Shi, Martha A. Larson, Alan Hanjalic:
Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering. 125-132 - Daniel Xiaodan Zhou, Paul Resnick:
Assessment of conversation co-mentions as a resource for software module recommendation. 133-140
Privacy and security
- Zunping Cheng, Neil Hurley
Effective diverse and obfuscated attacks on model-based recommender systems. 141-148 - Neil Hurley
Statistical attack detection. 149-156 - Reza Shokri, Pedram Pedarsani, George Theodorakopoulos
Preserving privacy in collaborative filtering through distributed aggregation of offline profiles. 157-164 - Benjamin Van Roy, Xiang Yan:
Manipulation-resistant collaborative filtering systems. 165-172
Trust and evaluation
- Xavier Amatriain, Josep M. Pujol, Nava Tintarev, Nuria Oliver
Rate it again: increasing recommendation accuracy by user re-rating. 173-180 - Mohsen Jamali, Martin Ester:
Using a trust network to improve top-N recommendation. 181-188 - Hao Ma, Michael R. Lyu, Irwin King
Learning to recommend with trust and distrust relationships. 189-196 - Frank Edward Walter, Stefano Battiston
Personalised and dynamic trust in social networks. 197-204
Short papers
- Dietmar Jannach, Kolja Hegelich:
A case study on the effectiveness of recommendations in the mobile internet. 205-208 - Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michael E. Houle, M. Tamer Özsu
A partial-order based active cache for recommender systems. 209-212 - Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher
A recommender system for dynamically evolving online forums. 213-216 - Dorothea Tsatsou, Fotis Menemenis, Ioannis Kompatsiaris, Paul C. Davis:
A semantic framework for personalized ad recommendation based on advanced textual analysis. 217-220 - Rong Hu, Pearl Pu:
Acceptance issues of personality-based recommender systems. 221-224 - Li Chen
Adaptive tradeoff explanations in conversational recommenders. 225-228 - Rajat Bhattacharjee, Ashish Goel, Konstantinos Kollias:
An incentive-based architecture for social recommendations. 229-232 - Paolo Cremonesi
Analysis of cold-start recommendations in IPTV systems. 233-236 - Denis Parra
Collaborative filtering for social tagging systems: an experiment with CiteULike. 237-240 - Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep Phuc Luong, Josh Eno:
Conceptual recommender system for CiteSeerX. 241-244 - Linas Baltrunas, Francesco Ricci
Context-based splitting of item ratings in collaborative filtering. 245-248 - Pearl Pu, Maoan Zhou, Sylvain Castagnos:
Critiquing recommenders for public taste products. 249-252 - Tavi Nathanson, Ephrat Bitton, Kenneth Y. Goldberg
Donation dashboard: a recommender system for donation portfolios. 253-256 - Fabrizio Antonelli, Gianluca Francini, Marina Geymonat, Skjalg Lepsøy:
DynamicTV: a culture-aware recommender. 257-260 - Alon Schclar, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Liat Antwarg:
Ensemble methods for improving the performance of neighborhood-based collaborative filtering. 261-264 - Umberto Panniello
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. 265-268 - Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Jafar Habibi:
FeedbackTrust: using feedback effects in trust-based recommendation systems. 269-272 - Daniele Quercia
FriendSensing: recommending friends using mobile phones. 273-276 - Berardina De Carolis, Nicole Novielli
Generating comparative descriptions of places of interest in the tourism domain. 277-280 - Stephen J. Green, Paul Lamere, Jeffrey Alexander, François Maillet, Susanna Kirk, Jessica Holt, Jackie Bourque, Xiao-Wen Mak:
Generating transparent, steerable recommendations from textual descriptions of items. 281-284 - Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu:
Getting recommender systems to think outside the box. 285-288 - Maryam Khezrzadeh, Alex Thomo
Harnessing the power of "favorites" lists for recommendation systems. 289-292 - Alexandros Nanopoulos, Milos Radovanovic
How does high dimensionality affect collaborative filtering? 293-296 - Michael Hart, Rob Johnson, Amanda Stent:
iTag: a personalized blog tagger. 297-300 - Giovanni Semeraro
Knowledge infusion into content-based recommender systems. 301-304 - Michael P. O'Mahony
Learning to recommend helpful hotel reviews. 305-308 - Markus Weimer, Alexandros Karatzoglou, Marcel Bruch:
Maximum margin matrix factorization for code recommendation. 309-312 - Luis M. de Campos
Measuring predictive capability in collaborative filtering. 313-316 - Panagiotis Symeonidis
MoviExplain: a recommender system with explanations. 317-320 - Klaus Seyerlehner, Arthur Flexer
On the limitations of browsing top-N recommender systems. 321-324 - Juan A. Recio-García, Guillermo Jiménez-Díaz, Antonio A. Sánchez-Ruiz-Granados, Belén Díaz-Agudo
Personality aware recommendations to groups. 325-328 - Noriaki Kawamae
Personalized recommendation based on the personal innovator degree. 329-332 - Sharon Givon, Victor Lavrenko:
Predicting social-tags for cold start book recommendations. 333-336 - Jacob P. Baskin, Shriram Krishnamurthi
Preference aggregation in group recommender systems for committee decision-making. 337-340 - Craig Boutilier, Kevin Regan, Paolo Viappiani:
Preference elicitation with subjective features. 341-344 - Emden R. Gansner, Yifan Hu, Stephen G. Kobourov
Putting recommendations on the map: visualizing clusters and relations. 345-348 - Florent Garcin, Boi Faltings, Radu Jurca, Nadine Joswig:
Rating aggregation in collaborative filtering systems. 349-352 - Aditya G. Parameswaran
Recommendations with prerequisites. 353-356 - Don Conry, Yehuda Koren, Naren Ramakrishnan
Recommender systems for the conference paper assignment problem. 357-360 - Sylvain Castagnos, Nicolas Jones, Pearl Pu:
Recommenders' influence on buyers' decision process. 361-364 - Michele Brocco, Georg Groh:
Team recommendation in open innovation networks. 365-368 - Robert Jäschke
Testing and evaluating tag recommenders in a live system. 369-372 - Sandy El Helou, Christophe Salzmann, Stéphane Sire, Denis Gillet:
The 3A contextual ranking system: simultaneously recommending actors, assets, and group activities. 373-376 - Tarik Hadzic, Barry O'Sullivan
Uncovering functional dependencies in MDD-compiled product catalogues. 377-380 - Bart P. Knijnenburg, Martijn C. Willemsen
Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system. 381-384 - Owen Phelan, Kevin McCarthy
Using twitter to recommend real-time topical news. 385-388 - Fabián P. Lousame, Eduardo Sánchez:
View-based recommender systems. 389-392
Doctoral symposium
- Ephrat Bitton:
A spatial model for collaborative filtering of comments in an online discussion forum. 393-396 - Mi Zhang:
Enhancing diversity in Top-N recommendation. 397-400 - Nkechi Nnadi:
Applying relevant set correlation clustering to multi-criteria recommender systems. 401-404 - Marius Kaminskas:
Matching information content with music. 405-408 - Monika Schubert:
Personalized query relaxations and repairs in knowledge-based recommendation. 409-412 - Mozhgan Tavakolifard:
Situation-aware trust management. 413-416 - Gabriele Tolomei
Search the web x.0: mining and recommending web-mediated processes. 417-420
Workshops
- Dietmar Jannach, Werner Geyer, Casey Dugan, Jill Freyne, Sarabjot S. Anand, Bamshad Mobasher
Workshop on recommender systems and the social web. 421-422 - Gediminas Adomavicius, Francesco Ricci
RecSys'09 workshop 3: workshop on context-aware recommender systems (CARS-2009). 423-424
Tutorials
- Jennifer Golbeck:
Tutorial on using social trust for recommender systems. 425-426
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