RecSys 2010: Barcelona, Spain
Xavier Amatriain, Marc Torrens, Paul Resnick, Markus Zanker (Eds.): Proceedings of the 2010 ACM Conference on Recommender Systems, RecSys 2010, Barcelona, Spain, September 26-30, 2010. ACM 2010 ISBN 978-1-60558-906-0
Tutorial program
- Guy Shani: Tutorial on evaluating recommender systems. 1
- Ricardo A. Baeza-Yates: Query intent prediction and recommendation. 5-6
Industry panel
- Ido Guy, Alejandro Jaimes, Pau Agulló, Pat Moore, Palash Nandy, Chahab Nastar, Henrik Schinzel: Will recommenders kill search?: recommender systems - an industry perspective. 7-12
Innovative preference expressions and usage assessments
- Thomas Sandholm, Hang Ung, Christina Aperjis, Bernardo A. Huberman: Global budgets for local recommendations. 13-20
- Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra: Aggregating preference graphs for collaborative rating prediction. 21-28
Contests: way forward or detour?
- Paul Resnick, Joseph A. Konstan, Andreas Hotho, Jesus Pindado: Contests: way forward or detour? 37-38
Beyond prediction accuracy
- Paolo Cremonesi, Yehuda Koren, Roberto Turrin: Performance of recommender algorithms on top-n recommendation tasks. 39-46
- Dirk G. F. M. Bollen, Bart P. Knijnenburg, Martijn C. Willemsen, Mark P. Graus: Understanding choice overload in recommender systems. 63-70
Algorithms
- István Pilászy, Dávid Zibriczky, Domonkos Tikk: Fast als-based matrix factorization for explicit and implicit feedback datasets. 71-78
- Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver: Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. 79-86
- Nathan Nan Liu, Min Zhao, Evan Wei Xiang, Qiang Yang: Online evolutionary collaborative filtering. 95-102
All about groups
- Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon: Affiliation recommendation using auxiliary networks. 103-110
- Shlomo Berkovsky, Jill Freyne: Group-based recipe recommendations: analysis of data aggregation strategies. 111-118
- Linas Baltrunas, Tadas Makcinskas, Francesco Ricci: Group recommendations with rank aggregation and collaborative filtering. 119-126
Recommending in social networks
- Theodoros Lappas, Dimitrios Gunopulos: Interactive recommendations in social endorsement networks. 127-134
- Mohsen Jamali, Martin Ester: A matrix factorization technique with trust propagation for recommendation in social networks. 135-142
- Shiwan Zhao, Michelle X. Zhou, Quan Yuan, Xiatian Zhang, Wentao Zheng, Rongyao Fu: Who is talking about what: social map-based recommendation for content-centric social websites. 143-150
Recommending non-standard items
- Min Xie, Laks V. S. Lakshmanan, Peter T. Wood: Breaking out of the box of recommendations: from items to packages. 151-158
- Michael D. Ekstrand, Praveen Kannan, James A. Stemper, John T. Butler, Joseph A. Konstan, John Riedl: Automatically building research reading lists. 159-166
- Shlomo Berkovsky, Jill Freyne, Mac Coombe, Dipak Bhandari: Recommender algorithms in activity motivating games. 175-182
Friends and lovers
- Panagiotis Symeonidis, Eleftherios Tiakas, Yannis Manolopoulos: Transitive node similarity for link prediction in social networks with positive and negative links. 183-190
- Elisa Baglioni, Luca Becchetti, Lorenzo Bergamini, Ugo Maria Colesanti, Luca Filipponi, Andrea Vitaletti, Giuseppe Persiano: A lightweight privacy preserving SMS-based recommendation system for mobile users. 191-198
- John Hannon, Mike Bennett, Barry Smyth: Recommending twitter users to follow using content and collaborative filtering approaches. 199-206
- Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Judy Kay: RECON: a reciprocal recommender for online dating. 207-214
Closing keynote
- Edouard Servan-Schreiber: Recommendation analytics: the business view, and the business case. 215-216
Posters
- Erman Ayday, Faramarz Fekri: A belief propagation based recommender system for online services. 217-220
- Danielle H. Lee, Peter Brusilovsky: Using self-defined group activities for improvingrecommendations in collaborative tagging systems. 221-224
- Robin D. Burke: Evaluating the dynamic properties of recommendation algorithms. 225-228
- Savvas Karagiannidis, Stefanos Antaris, Christos Zigkolis, Athena Vakali: Hydra: an open framework for virtual-fusion of recommendation filters. 229-232
- Iván Cantador, Alejandro Bellogín, David Vallet: Content-based recommendation in social tagging systems. 237-240
- Guangyu Wu, Derek Greene, Padraig Cunningham: Merging multiple criteria to identify suspicious reviews. 241-244
- Hua Zheng, Dong Wang, Qi Zhang, Hang Li, Tinghao Yang: Do clicks measure recommendation relevancy?: an empirical user study. 249-252
- Nesserine Benchettara, Rushed Kanawati, Céline Rouveirol: A supervised machine learning link prediction approach for academic collaboration recommendation. 253-256
- Mouzhi Ge, Carla Delgado-Battenfeld, Dietmar Jannach: Beyond accuracy: evaluating recommender systems by coverage and serendipity. 257-260
- Eva Zangerle, Wolfgang Gassler, Günther Specht: Recommending structure in collaborative semistructured information systems. 261-264
- Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira: Iterative voting under uncertainty for group recommender systems. 265-268
- Yue Shi, Martha Larson, Alan Hanjalic: List-wise learning to rank with matrix factorization for collaborative filtering. 269-272
- Toshihiro Kamishima, Shotaro Akaho: Nantonac collaborative filtering: a model-based approach. 273-276
- Jill Freyne, Shlomo Berkovsky, Elizabeth M. Daly, Werner Geyer: Social networking feeds: recommending items of interest. 277-280
- Toon De Pessemier, Simon Dooms, Tom Deryckere, Luc Martens: Time dependency of data quality for collaborative filtering algorithms. 281-284
- Stephan Hammer, Jonghwa Kim, Elisabeth André: MED-StyleR: METABO diabetes-lifestyle recommender. 285-288
- Jeremy Jancsary, Friedrich Neubarth, Harald Trost: Towards context-aware personalization and a broad perspective on the semantics of news articles. 289-292
- James Davidson, Benjamin Liebald, Junning Liu, Palash Nandy, Taylor Van Vleet, Ullas Gargi, Sujoy Gupta, Yu He, Mike Lambert, Blake Livingston, Dasarathi Sampath: The YouTube video recommendation system. 293-296
- Paul Marx, Thorsten Hennig-Thurau, André Marchand: Increasing consumers' understanding of recommender results: a preference-based hybrid algorithm with strong explanatory power. 297-300
- Elizabeth M. Daly, Werner Geyer, David R. Millen: The network effects of recommending social connections. 301-304
- Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth: On the real-time web as a source of recommendation knowledge. 305-308
- Ernesto Diaz-Aviles, Mihai Georgescu, Avaré Stewart, Wolfgang Nejdl: LDA for on-the-fly auto tagging. 309-312
- Suhrid Balakrishnan: On-demand set-based recommendations. 313-316
- Gawesh Jawaheer, Martin Szomszor, Patty Kostkova: Characterisation of explicit feedback in an online music recommendation service. 317-320
- Anne Gutschmidt: An approach to situational market segmentation on on-line newspapers based on current tasks. 321-324
- Mohammad Khoshneshin, W. Nick Street: Incremental collaborative filtering via evolutionary co-clustering. 325-328
- Massimiliano Albanese, Antonio d'Acierno, Vincenzo Moscato, Fabio Persia, Antonio Picariello: Modeling recommendation as a social choice problem. 329-332
- Robert G. Farrell, Nitendra Rajput, Rajarshi Das, Catalina M. Danis, Ketki A. Dhanesha: Social navigation for the spoken web. 333-336
- Julia M. Mayer, Sara Motahari, Richard P. Schuler, Quentin Jones: Common attributes in an unusual context: predicting the desirability of a social match. 337-340
- Carlos Eduardo R. de Mello, Marie-Aude Aufaure, Geraldo Zimbrão: Active learning driven by rating impact analysis. 341-344
Demos
- János Moldvay, Ingo Bax, Alexander Frerichs, Mirko Schuh: Tagmantic: a social recommender service based on semantic tag graphs and tag clusters. 345-346
- Josep Bachs Barrio, Xavier Amatriain Rubio: Geolocated movie recommendations based on expert collaborative filtering. 347-348
- Toni Cebrián, Marc Planagumà, Paulo Villegas, Xavier Amatriain: Music recommendations with temporal context awareness. 349-352
- Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Kalina Yacef, Judy Kay: Reciprocal recommender system for online dating. 353-354
- Verus Pronk, Mauro Barbieri, Jan H. M. Korst, Adolf Proidl: Integrating broadcast and web video content into personal tv channels. 355-356
Doctoral symposium
- Rong Hu: Design and user issues in personality-based recommender systems. 357-360
- Cataldo Musto: Enhanced vector space models for content-based recommender systems. 361-364
- Alan Said: Identifying and utilizing contextual data in hybrid recommender systems. 365-368
- Rafael Schirru: Topic-based recommendations in enterprise social media sharing platforms. 369-372
Workshop program
- Jérôme Picault, Dimitre Kostadinov, Pablo Castells, Alejandro Jaimes: Workshop on the practical use of recommender systems algorithms & technology. 373-374
- Peter Brusilovsky, Iván Cantador, Yehuda Koren, Tsvi Kuflik, Markus Weimer: Workshop on information heterogeneity and fusion in recommender systems (HetRec 2010). 375-376
- Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos: Workshop on recommender systems for technology enhanced learning. 377-378
- Werner Geyer, Jill Freyne, Bamshad Mobasher, Sarabjot S. Anand, Casey Dugan: 2nd workshop on recommender systems and the social web. 379-380
- Amelie Anglade, Claudio Baccigalupo, Norman Casagrande, Òscar Celma, Paul Lamere: Workshop report: WOMRAD 2010. 381-382
- Bart P. Knijnenburg, Lars Schmidt-Thieme, Dirk G. F. M. Bollen: Workshop on user-centric evaluation of recommender systems and their interfaces. 383-384
- Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto William De Luca, Alan Said: Context-awareness in recommender systems: research workshop and movie recommendation challenge. 385-386
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