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ORCIDRecSys 2015: Vienna, Austria
- Hannes Werthner, Markus Zanker, Jennifer Golbeck, Giovanni Semeraro:
Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria, September 16-20, 2015. ACM 2015, ISBN 978-1-4503-3692-5
Invited Keynote
- Oliviero Stock:
A (Persuasive?) Speech on Automated Persuasion. 1-2
Session 1a: The User in the Loop
- F. Maxwell Harper, Funing Xu, Harmanpreet Kaur, Kyle Condiff, Shuo Chang, Loren G. Terveen:
Putting Users in Control of their Recommendations. 3-10 - Michael D. Ekstrand
, Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan:
Letting Users Choose Recommender Algorithms: An Experimental Study. 11-18 - Komal Kapoor, Vikas Kumar, Loren G. Terveen, Joseph A. Konstan, Paul R. Schrater:
"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences. 19-26
Session 1b: Recommender Systems and Social Networks
- Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis:
Overlapping Community Regularization for Rating Prediction in Social Recommender Systems. 27-34 - Amirali Salehi-Abari, Craig Boutilier:
Preference-oriented Social Networks: Group Recommendation and Inference. 35-42 - Allison June-Barlow Chaney, David M. Blei, Tina Eliassi-Rad:
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation. 43-50 - Rana Forsati, Iman Barjasteh, Farzan Masrour, Abdol-Hossein Esfahanian, Hayder Radha:
PushTrust: An Efficient Recommendation Algorithm by Leveraging Trust and Distrust Relations. 51-58
Session 2a: Contextual Challenges
- Koen Verstrepen, Bart Goethals:
Top-N Recommendation for Shared Accounts. 59-66 - Haokai Lu, James Caverlee:
Exploiting Geo-Spatial Preference for Personalized Expert Recommendation. 67-74 - Xiaoxue Zhao, Weinan Zhang, Jun Wang:
Risk-Hedged Venture Capital Investment Recommendation. 75-82
Session 2b: Cold Start and Hybrid Recommender Systems
- Michal Aharon, Oren Anava, Noa Avigdor-Elgrabli, Dana Drachsler-Cohen, Shahar Golan, Oren Somekh:
ExcUseMe: Asking Users to Help in Item Cold-Start Recommendations. 83-90 - Iman Barjasteh, Rana Forsati, Farzan Masrour, Abdol-Hossein Esfahanian, Hayder Radha:
Cold-Start Item and User Recommendation with Decoupled Completion and Transduction. 91-98 - Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor:
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems. 99-106
Session 3: Distinguished Papers
- Arnaud Berlioz, Arik Friedman, Mohamed Ali Kâafar, Roksana Boreli, Shlomo Berkovsky:
Applying Differential Privacy to Matrix Factorization. 107-114 - Harald Steck:
Gaussian Ranking by Matrix Factorization. 115-122 - Augusto Q. de Macedo, Leandro Balby Marinho, Rodrygo L. T. Santos:
Context-Aware Event Recommendation in Event-based Social Networks. 123-130
Session 4a: Novel Setups
- Shaghayegh Sahebi, Peter Brusilovsky:
It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering. 131-138 - Filippo Bistaffa, Alessandro Farinelli, Georgios Chalkiadakis, Sarvapali D. Ramchurn:
Recommending Fair Payments for Large-Scale Social Ridesharing. 139-146 - Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville:
Learning Distributed Representations from Reviews for Collaborative Filtering. 147-154
Session 4b: Algorithms
- Laurent Charlin, Rajesh Ranganath, James McInerney, David M. Blei:
Dynamic Poisson Factorization. 155-162 - Fabian Christoffel, Bibek Paudel, Chris Newell, Abraham Bernstein:
Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks. 163-170 - Ziqi Liu, Yu-Xiang Wang, Alexander J. Smola:
Fast Differentially Private Matrix Factorization. 171-178
Session 5a: News and Media
- Andrii Maksai, Florent Garcin, Boi Faltings:
Predicting Online Performance of News Recommender Systems Through Richer Evaluation Metrics. 179-186 - Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh:
Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks. 187-194 - Trapit Bansal, Mrinal Kanti Das, Chiranjib Bhattacharyya:
Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles. 195-202
Session 5b: E-Commerce & Ads
- Wreetabrata Kar, Viswanathan Swaminathan, Paulo Albuquerque:
Selection and Ordering of Linear Online Video Ads. 203-210 - Dietmar Jannach, Lukas Lerche, Michael Jugovac:
Adaptation and Evaluation of Recommendations for Short-term Shopping Goals. 211-218 - Qi Zhao, Yi Zhang, Daniel Friedman, Fangfang Tan:
E-commerce Recommendation with Personalized Promotion. 219-226
Industry Session 1: Media and TV, People and Skills
- Pancrazio Auteri, Roberto Turrin:
Personalized Catch-up & DVR: VOD or Linear, That is the Question. 227 - Jan Neumann, Hassan Sayyadi:
Recommendations for Live TV. 228 - Steven Bourke:
The Application of Recommender Systems in a Multi Site, Multi Domain Environment. 229 - Fabian Abel:
We Know Where You Should Work Next Summer: Job Recommendations. 230 - Aleksandra Mojsilovic, Kush R. Varshney:
Assessing Expertise in the Enterprise: The Recommender Point of View. 231
Industry Session 2: Generic Platforms and Location-based Application Domains
- Romain Lerallut, Diane Gasselin, Nicolas Le Roux:
Large-Scale Real-Time Product Recommendation at Criteo. 232 - Bottyán Németh:
Scaling Up Recommendation Services in Many Dimensions. 233 - Onno Zoeter:
Recommendations in Travel. 234 - Sudeep Das:
Making Meaningful Restaurant Recommendations At OpenTable. 235 - Ido Guy:
The Role of User Location in Personalized Search and Recommendation. 236
Short Papers
- Daniel Valcarce, Javier Parapar, Alvaro Barreiro:
A Study of Priors for Relevance-Based Language Modelling of Recommender Systems. 237-240 - Mehdi Hosseinzadeh Aghdam, Negar Hariri, Bamshad Mobasher, Robin D. Burke:
Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models. 241-244 - Leandro Balby Marinho, Christoph Trattner, Denis Parra:
Are Real-World Place Recommender Algorithms Useful in Virtual World Environments? 245-248 - Oded Nov, Ofer Arazy:
Asymmetric Recommendations: The Interacting Effects of Social Ratings? Direction and Strength on Users' Ratings. 249-252 - Elizabeth Daly, Michele Berlingerio, François Schnitzler:
Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates. 253-256 - Oren Sar Shalom, Shlomo Berkovsky, Royi Ronen, Elad Ziklik, Amihood Amir:
Data Quality Matters in Recommender Systems. 257-260 - Ning Kang, Marius A. Doornenbal, Robert J. A. Schijvenaars:
Elsevier Journal Finder: Recommending Journals for your Paper. 261-264 - Dominik Kowald, Elisabeth Lex:
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study. 265-268 - Santiago Larrain, Christoph Trattner, Denis Parra, Eduardo Graells-Garrido, Kjetil Nørvåg:
Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging. 269-272 - Mark P. Graus, Martijn C. Willemsen:
Improving the User Experience during Cold Start through Choice-Based Preference Elicitation. 273-276 - Qiang Song, Jian Cheng, Hanqing Lu:
Incremental Matrix Factorization via Feature Space Re-learning for Recommender System. 277-280 - Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari:
Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. 281-284 - S. Chandra Mouli, Sutanu Chakraborti:
Making the Most of Preference Feedback by Modeling Feature Dependencies. 285-288 - Elizabeth Wayman, Sriganesh Madhvanath:
Nudging Grocery Shoppers to Make Healthier Choices. 289-292 - Carlos E. Seminario, David C. Wilson:
Nuke 'Em Till They Go: Investigating Power User Attacks to Disparage Items in Collaborative Recommenders. 293-296 - Nofar Dali Betzalel, Bracha Shapira, Lior Rokach:
"Please, Not Now!": A Model for Timing Recommendations. 297-300 - Jean-Benoît Griesner, Talel Abdessalem, Hubert Naacke:
POI Recommendation: Towards Fused Matrix Factorization with Geographical and Temporal Influences. 301-304 - Sam Banks, Rachael Rafter, Barry Smyth:
The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data. 305-308 - Daryl Lim, Julian J. McAuley, Gert R. G. Lanckriet:
Top-N Recommendation with Missing Implicit Feedback. 309-312 - David Elsweiler, Morgan Harvey:
Towards Automatic Meal Plan Recommendations for Balanced Nutrition. 313-316 - Fangjian Guo, David B. Dunson:
Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach. 317-320 - Rafet Sifa, César Ojeda, Christian Bauckhage:
User Churn Migration Analysis with DEDICOM. 321-324
Demonstrations
- Gabriella Kazai, Daoud Clarke, Iskander Yusof, Matteo Venanzi:
A Personalised Reader for Crowd Curated Content. 325-326 - Morgan Harvey, David Elsweiler:
Automated Recommendation of Healthy, Personalised Meal Plans. 327-328 - Guilherme A. de Sousa, Matheus A. Diniz, Michele A. Brandão, Mirella M. Moro:
CNARe: Co-authorship Networks Analysis and Recommendations. 329-330 - Axel Magnuson, Vijay Dialani, Deepa Mallela:
Event Recommendation using Twitter Activity. 331-332 - Mouzhi Ge, Francesco Ricci, David Massimo:
Health-aware Food Recommender System. 333-334 - Quanquan C. Liu, David R. Karger:
Kibitz: End-to-End Recommendation System Builder. 335-336 - Nikos Karagiannakis, Giorgos Giannopoulos, Dimitrios Skoutas, Spiros Athanasiou:
OSMRec Tool for Automatic Recommendation of Categories on Spatial Entities in OpenStreetMap. 337-338
Workshops and Challenge
- Toine Bogers, Marijn Koolen:
Second Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2015). 339-340 - Martha A. Larson, Domonkos Tikk, Roberto Turrin:
Overview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender Systems. 341-342 - Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir:
EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems. 343-344 - Jon Atle Gulla, Bei Yu, Özlem Özgöbek, Nafiseh Shabib:
3rd International Workshop on News Recommendation and Analytics (INRA 2015). 345-346 - John O'Donovan, Nava Tintarev, Alexander Felfernig, Peter Brusilovsky, Giovanni Semeraro, Pasquale Lops:
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS). 347-348 - Tao Ye, Danny Bickson, Nicholas Ampazis, András A. Benczúr:
LSRS'15: Workshop on Large-Scale Recommender Systems. 349-350 - Panagiotis Bouros, Neal Lathia, Matthias Renz, Francesco Ricci, Dimitris Sacharidis:
LocalRec'15: Workshop on Location-Aware Recommendations. 351-352 - Jan Neumann, Danny Bickson, Hassan Sayyadi, Roberto Turrin, John Hannon:
2nd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2015). 353-354 - Antonio Moreno, Laura Sebastia, Pieter Vansteenwegen:
TouRS'15: Workshop on Tourism Recommender Systems. 355-356 - David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle:
RecSys Challenge 2015 and the YOOCHOOSE Dataset. 357-358
Tutorials
- Harald Steck, Roelof van Zwol, Chris Johnson:
Interactive Recommender Systems: Tutorial. 359-360 - Frank Hopfgartner, Benjamin Kille, Tobias Heintz, Roberto Turrin:
Real-time Recommendation of Streamed Data. 361-362 - Alan Said, Alejandro Bellogín:
Replicable Evaluation of Recommender Systems. 363-364 - Si Ying Diana Hu, Joaquin Delgado:
Scalable Recommender Systems: Where Machine Learning Meets Search. 365-366
Doctoral Symposium
- Alan Menk dos Santos:
A Hybrid Recommendation System Based on Human Curiosity. 367-370 - Balázs Hidasi:
Context-aware Preference Modeling with Factorization. 371-374 - Daniel Valcarce:
Exploring Statistical Language Models for Recommender Systems. 375-378 - Stijn Geuens:
Factorization Machines for Hybrid Recommendation Systems Based on Behavioral, Product, and Customer Data. 379-382 - Moshe Unger:
Latent Context-Aware Recommender Systems. 383-386 - Andreu Vall:
Listener-Inspired Automated Music Playlist Generation. 387-390 - Cornelius A. Ludmann:
Online Recommender Systems based on Data Stream Management Systems. 391-394
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