| 1 | | The Role of User Location in Personalized Search and Recommendation | | 0 | | Ido Guy | |
| 2 | | E-commerce Recommendation with Personalized Promotion | | 0 | | Daniel Friedman, Fangfang Tan, Qi Zhao, Yi Zhang | |
| 3 | | Nuke 'Em Till They Go: Investigating Power User Attacks to Disparage Items in Collaborative Recommenders | | 0 | | Carlos E. Seminario, David C. Wilson | |
| 4 | | A Probabilistic Model for Using Social Networks in Personalized Item Recommendation | | 0 | | Allison JuneBarlow Chaney, David M. Blei, Tina EliassiRad | |
| 5 | | Scalable Recommender Systems: Where Machine Learning Meets Search | | 0 | | Joaquin Delgado, Si Ying Diana Hu | |
| 6 | | Exploiting Geo-Spatial Preference for Personalized Expert Recommendation | | 0 | | Haokai Lu, James Caverlee | |
| 7 | | A Study of Priors for Relevance-Based Language Modelling of Recommender Systems | | 0 | | Alvaro Barreiro, Daniel Valcarce, Javier Parapar | |
| 8 | | Automated Recommendation of Healthy, Personalised Meal Plans | | 0 | | David Elsweiler, Morgan Harvey | |
| 9 | | Cold-Start Item and User Recommendation with Decoupled Completion and Transduction | | 0 | | AbdolHossein Esfahanian, Farzan Masrour, Hayder Radha, Iman Barjasteh, Rana Forsati | |
| 10 | | ExcUseMe: Asking Users to Help in Item Cold-Start Recommendations | | 0 | | Dana DrachslerCohen, Michal Aharon, Noa AvigdorElgrabli, Oren Anava, Oren Somekh, Shahar Golan | |
| 11 | | It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering | | 0 | | Peter Brusilovsky, Shaghayegh Sahebi | |
| 12 | | Large-Scale Real-Time Product Recommendation at Criteo | | 0 | | Diane Gasselin, Nicolas Le Roux, Romain Lerallut | |
| 13 | | Top-N Recommendation with Missing Implicit Feedback | | 0 | | Daryl Lim, Gert R. G. Lanckriet, Julian J. McAuley | |
| 14 | | Factorization Machines for Hybrid Recommendation Systems Based on Behavioral, Product, and Customer Data | | 0 | | Stijn Geuens | |
| 15 | | Online Recommender Systems based on Data Stream Management Systems | | 0 | | Cornelius A. Ludmann | |
| 16 | | Letting Users Choose Recommender Algorithms: An Experimental Study | | 0 | | Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan, Michael D. Ekstrand | |
| 17 | | Putting Users in Control of their Recommendations | | 0 | | F. Maxwell Harper, Funing Xu, Harmanpreet Kaur, Kyle Condiff, Loren G. Terveen, Shuo Chang | |
| 18 | | Top-N Recommendation for Shared Accounts | | 0 | | Bart Goethals, Koen Verstrepen | |
| 19 | | Recommending Fair Payments for Large-Scale Social Ridesharing | | 0 | | Alessandro Farinelli, Filippo Bistaffa, Georgios Chalkiadakis, Sarvapali D. Ramchurn | |
| 20 | | Predicting Online Performance of News Recommender Systems Through Richer Evaluation Metrics | | 0 | | Andrii Maksai, Boi Faltings, Florent Garcin | |
| 21 | | Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles | | 0 | | Chiranjib Bhattacharyya, Mrinal Kanti Das, Trapit Bansal | |
| 22 | | Selection and Ordering of Linear Online Video Ads | | 0 | | Paulo Albuquerque, Viswanathan Swaminathan, Wreetabrata Kar | |
| 23 | | Adaptation and Evaluation of Recommendations for Short-term Shopping Goals | | 0 | | Dietmar Jannach, Lukas Lerche, Michael Jugovac | |
| 24 | | The Application of Recommender Systems in a Multi Site, Multi Domain Environment | | 0 | | Steven Bourke | |
| 25 | | Asymmetric Recommendations: The Interacting Effects of Social Ratings? Direction and Strength on Users' Ratings | | 0 | | Oded Nov, Ofer Arazy | |
| 26 | | Event Recommendation using Twitter Activity | | 0 | | Axel Magnuson, Deepa Mallela, Vijay Dialani | |
| 27 | | Real-time Recommendation of Streamed Data | | 0 | | Benjamin Kille, Frank Hopfgartner, Roberto Turrin, Tobias Heintz | |
| 28 | | Exploring Statistical Language Models for Recommender Systems | | 0 | | Daniel Valcarce | |
| 29 | | Overlapping Community Regularization for Rating Prediction in Social Recommender Systems | | 0 | | Dingming Wu, Hui Li, Nikos Mamoulis, Wenbin Tang | |
| 30 | | Preference-oriented Social Networks: Group Recommendation and Inference | | 0 | | Amirali SalehiAbari, Craig Boutilier | |
| 31 | | PushTrust: An Efficient Recommendation Algorithm by Leveraging Trust and Distrust Relations | | 0 | | AbdolHossein Esfahanian, Farzan Masrour, Hayder Radha, Iman Barjasteh, Rana Forsati | |
| 32 | | HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems | | 0 | | James R. Foulds, Lise Getoor, Magdalini Eirinaki, Pigi Kouki, Shobeir Fakhraei | |
| 33 | | Risk-Hedged Venture Capital Investment Recommendation | | 0 | | Jun Wang, Weinan Zhang, Xiaoxue Zhao | |
| 34 | | Gaussian Ranking by Matrix Factorization | | 0 | | Harald Steck | |
| 35 | | Learning Distributed Representations from Reviews for Collaborative Filtering | | 0 | | Aaron C. Courville, Amjad Almahairi, Kyle Kastner, Kyunghyun Cho | |
| 36 | | Context-Aware Event Recommendation in Event-based Social Networks | | 0 | | Augusto Q. de Macedo, Leandro Balby Marinho, Rodrygo L. T. Santos | |
| 37 | | Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks | | 0 | | Abraham Bernstein, Bibek Paudel, Chris Newell, Fabian Christoffel | |
| 38 | | Personalized Catch-up & DVR: VOD or Linear, That is the Question | | 0 | | Pancrazio Auteri, Roberto Turrin | |
| 39 | | Recommendations for Live TV | | 0 | | Hassan Sayyadi, Jan Neumann | |
| 40 | | We Know Where You Should Work Next Summer: Job Recommendations | | 0 | | Fabian Abel | |
| 41 | | Assessing Expertise in the Enterprise: The Recommender Point of View | | 0 | | Aleksandra Mojsilovic, Kush R. Varshney | |
| 42 | | Scaling Up Recommendation Services in Many Dimensions | | 0 | | Bottyán Németh | |
| 43 | | Recommendations in Travel | | 0 | | Onno Zoeter | |
| 44 | | Making Meaningful Restaurant Recommendations At OpenTable | | 0 | | Sudeep Das | |
| 45 | | Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models | | 0 | | Bamshad Mobasher, Mehdi Hosseinzadeh Aghdam, Negar Hariri, Robin D. Burke | |
| 46 | | Are Real-World Place Recommender Algorithms Useful in Virtual World Environments? | | 0 | | Christoph Trattner, Denis Parra, Leandro Balby Marinho | |
| 47 | | Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates | | 0 | | Elizabeth Daly, François Schnitzler, Michele Berlingerio | |
| 48 | | Data Quality Matters in Recommender Systems | | 0 | | Amihood Amir, Elad Ziklik, Oren Sar Shalom, Royi Ronen, Shlomo Berkovsky | |
| 49 | | Elsevier Journal Finder: Recommending Journals for your Paper | | 0 | | Marius A. Doornenbal, Ning Kang, Robert J. A. Schijvenaars | |
| 50 | | "Please, Not Now!": A Model for Timing Recommendations | | 0 | | Bracha Shapira, Lior Rokach, Nofar Dali Betzalel | |
| 51 | | POI Recommendation: Towards Fused Matrix Factorization with Geographical and Temporal Influences | | 0 | | Hubert Naacke, JeanBenoît Griesner, Talel Abdessalem | |
| 52 | | The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data | | 0 | | Barry Smyth, Rachael Rafter, Sam Banks | |
| 53 | | Towards Automatic Meal Plan Recommendations for Balanced Nutrition | | 0 | | David Elsweiler, Morgan Harvey | |
| 54 | | A Personalised Reader for Crowd Curated Content | | 0 | | Daoud Clarke, Gabriella Kazai, Iskander Yusof, Matteo Venanzi | |
| 55 | | CNARe: Co-authorship Networks Analysis and Recommendations | | 0 | | Guilherme A. de Sousa, Matheus A. Diniz, Michele A. Brandão, Mirella M. Moro | |
| 56 | | Health-aware Food Recommender System | | 0 | | David Massimo, Francesco Ricci, Mouzhi Ge | |
| 57 | | Kibitz: End-to-End Recommendation System Builder | | 0 | | David R. Karger, Quanquan C. Liu | |
| 58 | | OSMRec Tool for Automatic Recommendation of Categories on Spatial Entities in OpenStreetMap | | 0 | | Dimitrios Skoutas, Giorgos Giannopoulos, Nikos Karagiannakis, Spiros Athanasiou | |
| 59 | | Interactive Recommender Systems: Tutorial | | 0 | | Chris Johnson, Harald Steck, Roelof van Zwol | |
| 60 | | Replicable Evaluation of Recommender Systems | | 0 | | Alan Said, Alejandro Bellogín | |
| 61 | | A Hybrid Recommendation System Based on Human Curiosity | | 0 | | Alan Menk dos Santos | |
| 62 | | Latent Context-Aware Recommender Systems | | 0 | | Moshe Unger | |
| 63 | | Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study | | 0 | | Dominik Kowald, Elisabeth Lex | |
| 64 | | Incremental Matrix Factorization via Feature Space Re-learning for Recommender System | | 0 | | Hanqing Lu, Jian Cheng, Qiang Song | |
| 65 | | Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging | | 0 | | Christoph Trattner, Denis Parra, Eduardo GraellsGarrido, Kjetil Nørvåg, Santiago Larrain | |
| 66 | | Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems | | 0 | | Patrick Gallinari, Vincent Guigue, Élie GuàrdiaSebaoun | |
| 67 | | "I like to explore sometimes": Adapting to Dynamic User Novelty Preferences | | 0 | | Joseph A. Konstan, Komal Kapoor, Loren G. Terveen, Paul R. Schrater, Vikas Kumar | |
| 68 | | Improving the User Experience during Cold Start through Choice-Based Preference Elicitation | | 0 | | Mark P. Graus, Martijn C. Willemsen | |
| 69 | | Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach | | 0 | | David B. Dunson, Fangjian Guo | |
| 70 | | User Churn Migration Analysis with DEDICOM | | 0 | | Christian Bauckhage, César Ojeda, Rafet Sifa | |
| 71 | | Making the Most of Preference Feedback by Modeling Feature Dependencies | | 0 | | S. Chandra Mouli, Sutanu Chakraborti | |
| 72 | | A (Persuasive?) Speech on Automated Persuasion | | 0 | | Oliviero Stock | |
| 73 | | Applying Differential Privacy to Matrix Factorization | | 0 | | Arik Friedman, Arnaud Berlioz, Mohamed Ali Kâafar, Roksana Boreli, Shlomo Berkovsky | |
| 74 | | Dynamic Poisson Factorization | | 0 | | David M. Blei, James McInerney, Laurent Charlin, Rajesh Ranganath | |
| 75 | | Fast Differentially Private Matrix Factorization | | 0 | | Alexander J. Smola, YuXiang Wang, Ziqi Liu | |
| 76 | | Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks | | 0 | | Dietmar Jannach, Iman Kamehkhosh, Lukas Lerche | |
| 77 | | RecSys Challenge 2015 and the YOOCHOOSE Dataset | | 0 | | Alexander Tsikinovsky, Bracha Shapira, David BenShimon, Johannes Hoerle, Lior Rokach, Michael Friedmann | |
| 78 | | Context-aware Preference Modeling with Factorization | | 0 | | Balázs Hidasi | |
| 79 | | Listener-Inspired Automated Music Playlist Generation | | 0 | | Andreu Vall | |
| 80 | | Nudging Grocery Shoppers to Make Healthier Choices | | 0 | | Elizabeth Wayman, Sriganesh Madhvanath | |