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ORCIDRecSys 2010: Barcelona, Spain
- Xavier Amatriain, Marc Torrens, Paul Resnick, Markus Zanker:
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 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 - Sylvain Castagnos, Nicolas Jones, Pearl Pu:
Eye-tracking product recommenders' usage. 29-36
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 - Gediminas Adomavicius, Jingjing Zhang:
On the stability of recommendation algorithms. 47-54 - Tamas Jambor, Jun Wang:
Optimizing multiple objectives in collaborative filtering. 55-62 - 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 - Mohammad Khoshneshin, W. Nick Street:
Collaborative filtering via euclidean embedding. 87-94 - 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 - Marek Lipczak, Evangelos E. Milios:
Learning in efficient tag recommendation. 167-174 - 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 - Fatih Gedikli, Dietmar Jannach:
Recommending based on rating frequencies. 233-236 - 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 - Il Im, Byung Ho Kim:
Personalizing the settings for Cf-based recommender systems. 245-248 - 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 A. 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 Ribeiro 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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