Table of Contents

• A (Persuasive?) Speech on Automated PersuasionOliviero Stock. 1-2 [doi]
• Putting Users in Control of their RecommendationsF. Maxwell Harper, Funing Xu, Harmanpreet Kaur, Kyle Condiff, Shuo Chang, Loren G. Terveen. 3-10 [doi]
• Letting Users Choose Recommender Algorithms: An Experimental StudyMichael D. Ekstrand, Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan. 11-18 [doi]
• "I like to explore sometimes": Adapting to Dynamic User Novelty PreferencesKomal Kapoor, Vikas Kumar, Loren G. Terveen, Joseph A. Konstan, Paul Schrater. 19-26 [doi]
• Overlapping Community Regularization for Rating Prediction in Social Recommender SystemsHui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis. 27-34 [doi]
• Preference-oriented Social Networks: Group Recommendation and InferenceAmirali Salehi-Abari, Craig Boutilier. 35-42 [doi]
• A Probabilistic Model for Using Social Networks in Personalized Item RecommendationAllison June-Barlow Chaney, David M. Blei, Tina Eliassi-Rad. 43-50 [doi]
• PushTrust: An Efficient Recommendation Algorithm by Leveraging Trust and Distrust RelationsRana Forsati, Iman Barjasteh, Farzan Masrour, Abdol-Hossein Esfahanian, Hayder Radha. 51-58 [doi]
• Top-N Recommendation for Shared AccountsKoen Verstrepen, Bart Goethals. 59-66 [doi]
• Exploiting Geo-Spatial Preference for Personalized Expert RecommendationHaokai Lu, James Caverlee. 67-74 [doi]
• Risk-Hedged Venture Capital Investment RecommendationXiaoxue Zhao, Weinan Zhang, Jun Wang 0012. 75-82 [doi]
• ExcUseMe: Asking Users to Help in Item Cold-Start RecommendationsMichal Aharon, Oren Anava, Noa Avigdor-Elgrabli, Dana Drachsler-Cohen, Shahar Golan, Oren Somekh. 83-90 [doi]
• Cold-Start Item and User Recommendation with Decoupled Completion and TransductionIman Barjasteh, Rana Forsati, Farzan Masrour, Abdol-Hossein Esfahanian, Hayder Radha. 91-98 [doi]
• HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender SystemsPigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor. 99-106 [doi]
• Applying Differential Privacy to Matrix FactorizationArnaud Berlioz, Arik Friedman, Mohamed Ali Kâafar, Roksana Boreli, Shlomo Berkovsky. 107-114 [doi]
• Gaussian Ranking by Matrix FactorizationHarald Steck. 115-122 [doi]
• Context-Aware Event Recommendation in Event-based Social NetworksAugusto Q. de Macedo, Leandro Balby Marinho, Rodrygo L. T. Santos. 123-130 [doi]
• It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative FilteringShaghayegh Sahebi, Peter Brusilovsky. 131-138 [doi]
• Recommending Fair Payments for Large-Scale Social RidesharingFilippo Bistaffa, Alessandro Filippo, Georgios Chalkiadakis, Sarvapali D. Ramchurn. 139-146 [doi]
• Learning Distributed Representations from Reviews for Collaborative FilteringAmjad Almahairi, Kyle Kastner, KyungHyun Cho, Aaron C. Courville. 147-154 [doi]
• Dynamic Poisson FactorizationLaurent Charlin, Rajesh Ranganath, James McInerney, David M. Blei. 155-162 [doi]
• Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random WalksFabian Christoffel, Bibek Paudel, Chris Newell, Abraham Bernstein. 163-170 [doi]
• Fast Differentially Private Matrix FactorizationZiqi Liu, Yu-Xiang Wang, Alexander J. Smola. 171-178 [doi]
• Predicting Online Performance of News Recommender Systems Through Richer Evaluation MetricsAndrii Maksai, Florent Garcin, Boi Faltings. 179-186 [doi]
• Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right TracksDietmar Jannach, Lukas Lerche, Iman Kamehkhosh. 187-194 [doi]
• Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog ArticlesTrapit Bansal, Mrinal Kanti Das, Chiranjib Bhattacharyya. 195-202 [doi]
• Selection and Ordering of Linear Online Video AdsWreetabrata Kar, Viswanathan Swaminathan, Paulo Albuquerque. 203-210 [doi]
• Adaptation and Evaluation of Recommendations for Short-term Shopping GoalsDietmar Jannach, Lukas Lerche, Michael Jugovac. 211-218 [doi]
• E-commerce Recommendation with Personalized PromotionQi Zhao, Yi Zhang, Daniel Friedman, Fangfang Tan. 219-226 [doi]
• Personalized Catch-up & DVR: VOD or Linear, That is the QuestionPancrazio Auteri, Roberto Turrin. 227 [doi]
• Recommendations for Live TVJan Neumann, Hassan Sayyadi. 228 [doi]
• The Application of Recommender Systems in a Multi Site, Multi Domain EnvironmentSteven Bourke. 229 [doi]
• We Know Where You Should Work Next Summer: Job RecommendationsFabian Abel. 230 [doi]
• Assessing Expertise in the Enterprise: The Recommender Point of ViewAleksandra Mojsilovic, Kush R. Varshney. 231 [doi]
• Large-Scale Real-Time Product Recommendation at CriteoRomain Lerallut, Diane Gasselin, Nicolas Le Roux. 232 [doi]
• Scaling Up Recommendation Services in Many DimensionsBottyán Németh. 233 [doi]
• Recommendations in TravelOnno Zoeter. 234 [doi]
• Making Meaningful Restaurant Recommendations At OpenTableSudeep Das. 235 [doi]
• The Role of User Location in Personalized Search and RecommendationIdo Guy. 236 [doi]
• A Study of Priors for Relevance-Based Language Modelling of Recommender SystemsDaniel Valcarce, Javier Parapar, Alvaro Barreiro. 237-240 [doi]
• Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov ModelsMehdi Hosseinzadeh Aghdam, Negar Hariri, Bamshad Mobasher, Robin D. Burke. 241-244 [doi]
• Are Real-World Place Recommender Algorithms Useful in Virtual World Environments?Leandro Balby Marinho, Christoph Trattner, Denis Parra. 245-248 [doi]
• Asymmetric Recommendations: The Interacting Effects of Social Ratings? Direction and Strength on Users' RatingsOded Nov, Ofer Arazy. 249-252 [doi]
• Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic UpdatesElizabeth Daly, Michele Berlingerio, François Schnitzler. 253-256 [doi]
• Data Quality Matters in Recommender SystemsOren Sar Shalom, Shlomo Berkovsky, Royi Ronen, Elad Ziklik, Amihood Amir. 257-260 [doi]
• Elsevier Journal Finder: Recommending Journals for your PaperNing Kang, Marius A. Doornenbal, Robert J. A. Schijvenaars. 261-264 [doi]
• Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative StudyDominik Kowald, Elisabeth Lex. 265-268 [doi]
• Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social TaggingSantiago Larrain, Christoph Trattner, Denis Parra, Eduardo Graells-Garrido, Kjetil Nørvåg. 269-272 [doi]
• Improving the User Experience during Cold Start through Choice-Based Preference ElicitationMark P. Graus, Martijn C. Willemsen. 273-276 [doi]
• Incremental Matrix Factorization via Feature Space Re-learning for Recommender SystemQiang Song, Jian Cheng, Hanqing Lu. 277-280 [doi]
• Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender SystemsÉlie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari. 281-284 [doi]
• Making the Most of Preference Feedback by Modeling Feature DependenciesS. Chandra Mouli, Sutanu Chakraborti. 285-288 [doi]
• Nudging Grocery Shoppers to Make Healthier ChoicesElizabeth Wayman, Sriganesh Madhvanath. 289-292 [doi]
• Nuke 'Em Till They Go: Investigating Power User Attacks to Disparage Items in Collaborative RecommendersCarlos E. Seminario, David C. Wilson. 293-296 [doi]
• "Please, Not Now!": A Model for Timing RecommendationsNofar Dali Betzalel, Bracha Shapira, Lior Rokach. 297-300 [doi]
• POI Recommendation: Towards Fused Matrix Factorization with Geographical and Temporal InfluencesJean-Benoit Griesner, Talel Abdessalem, Hubert Naacke. 301-304 [doi]
• The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation DataSam Banks, Rachael Rafter, Barry Smyth. 305-308 [doi]
• Top-N Recommendation with Missing Implicit FeedbackDaryl Lim, Julian McAuley, Gert R. G. Lanckriet. 309-312 [doi]
• Towards Automatic Meal Plan Recommendations for Balanced NutritionDavid Elsweiler, Morgan Harvey. 313-316 [doi]
• Uncovering Systematic Bias in Ratings across Categories: a Bayesian ApproachFangjian Guo, David B. Dunson. 317-320 [doi]
• User Churn Migration Analysis with DEDICOMRafet Sifa, César Ojeda, Christian Bauckhage. 321-324 [doi]
• A Personalised Reader for Crowd Curated ContentGabriella Kazai, Daoud Clarke, Iskander Yusof, Matteo Venanzi. 325-326 [doi]
• Automated Recommendation of Healthy, Personalised Meal PlansMorgan Harvey, David Elsweiler. 327-328 [doi]
• CNARe: Co-authorship Networks Analysis and RecommendationsGuilherme A. de Sousa, Matheus A. Diniz, Michele A. Brandão, Mirella M. Moro. 329-330 [doi]
• Event Recommendation using Twitter ActivityAxel Magnuson, Vijay Dialani, Deepa Mallela. 331-332 [doi]
• Health-aware Food Recommender SystemMouzhi Ge, Francesco Ricci, David Massimo. 333-334 [doi]
• Kibitz: End-to-End Recommendation System BuilderQuanquan Liu, David R. Karger. 335-336 [doi]
• OSMRec Tool for Automatic Recommendation of Categories on Spatial Entities in OpenStreetMapNikos Karagiannakis, Giorgos Giannopoulos, Dimitrios Skoutas, Spiros Athanasiou. 337-338 [doi]
• Second Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2015)Toine Bogers, Marijn Koolen. 339-340 [doi]
• Overview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender SystemsMartha Larson, Domonkos Tikk, Roberto Turrin. 341-342 [doi]
• EMPIRE 2015: Workshop on Emotions and Personality in Personalized SystemsMarko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir. 343-344 [doi]
• 3rd International Workshop on News Recommendation and Analytics (INRA 2015)Jon Atle Gulla, Bei Yu, Özlem Özgöbek, Nafiseh Shabib. 345-346 [doi]
• Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS)John O'Donovan, Nava Tintarev, Alexander Felfernig, Peter Brusilovsky, Giovanni Semeraro, Pasquale Lops. 347-348 [doi]
• LSRS'15: Workshop on Large-Scale Recommender SystemsTao Ye, Danny Bickson, Nicholas Ampazis, Andras Benczúr. 349-350 [doi]
• LocalRec'15: Workshop on Location-Aware RecommendationsPanagiotis Bouros, Neal Lathia, Matthias Renz, Francesco Ricci, Dimitris Sacharidis. 351-352 [doi]
• 2nd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2015)Jan Neumann, Danny Bickson, Hassan Sayyadi, Roberto Turrin, John Hannon. 353-354 [doi]
• TouRS'15: Workshop on Tourism Recommender SystemsAntonio Moreno, Laura Sebastia, Pieter Vansteenwegen. 355-356 [doi]
• RecSys Challenge 2015 and the YOOCHOOSE DatasetDavid Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle. 357-358 [doi]
• Interactive Recommender Systems: TutorialHarald Steck, Roelof van Zwol, Chris Johnson. 359-360 [doi]
• Real-time Recommendation of Streamed DataFrank Hopfgartner, Benjamin Kille, Tobias Heintz, Roberto Turrin. 361-362 [doi]
• Replicable Evaluation of Recommender SystemsAlan Said, Alejandro Bellogín. 363-364 [doi]
• Scalable Recommender Systems: Where Machine Learning Meets SearchSi Ying Diana Hu, Joaquin Delgado. 365-366 [doi]
• A Hybrid Recommendation System Based on Human CuriosityAlan Menk dos Santos. 367-370 [doi]
• Context-aware Preference Modeling with FactorizationBalázs Hidasi. 371-374 [doi]
• Exploring Statistical Language Models for Recommender SystemsDaniel Valcarce. 375-378 [doi]
• Factorization Machines for Hybrid Recommendation Systems Based on Behavioral, Product, and Customer DataStijn Geuens. 379-382 [doi]
• Latent Context-Aware Recommender SystemsMoshe Unger. 383-386 [doi]
• Listener-Inspired Automated Music Playlist GenerationAndreu Vall. 387-390 [doi]
• Online Recommender Systems based on Data Stream Management SystemsCornelius A. Ludmann. 391-394 [doi]