Context-Aware Event Recommendation in Event-based Social Networks |
Augusto Q. de Macedo, Leandro Balby Marinho, Rodrygo L. T. Santos |
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128 |
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation |
Allison JuneBarlow Chaney, David M. Blei, Tina EliassiRad |
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103 |
Adaptation and Evaluation of Recommendations for Short-term Shopping Goals |
Dietmar Jannach, Lukas Lerche, Michael Jugovac |
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67 |
Learning Distributed Representations from Reviews for Collaborative Filtering |
Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville |
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67 |
Applying Differential Privacy to Matrix Factorization |
Arnaud Berlioz, Arik Friedman, Mohamed Ali Kâafar, Roksana Boreli, Shlomo Berkovsky |
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67 |
"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences |
Komal Kapoor, Vikas Kumar, Loren G. Terveen, Joseph A. Konstan, Paul R. Schrater |
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57 |
Overlapping Community Regularization for Rating Prediction in Social Recommender Systems |
Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis |
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55 |
Predicting Online Performance of News Recommender Systems Through Richer Evaluation Metrics |
Andrii Maksai, Florent Garcin, Boi Faltings |
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51 |
Letting Users Choose Recommender Algorithms: An Experimental Study |
Michael D. Ekstrand, Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan |
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49 |
Putting Users in Control of their Recommendations |
F. Maxwell Harper, Funing Xu, Harmanpreet Kaur, Kyle Condiff, Shuo Chang, Loren G. Terveen |
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48 |
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems |
Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor |
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48 |
Fast Differentially Private Matrix Factorization |
Ziqi Liu, YuXiang Wang, Alexander J. Smola |
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46 |
Dynamic Poisson Factorization |
Laurent Charlin, Rajesh Ranganath, James McInerney, David M. Blei |
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42 |
Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles |
Trapit Bansal, Mrinal Kanti Das, Chiranjib Bhattacharyya |
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40 |
Preference-oriented Social Networks: Group Recommendation and Inference |
Amirali SalehiAbari, Craig Boutilier |
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37 |
Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks |
Fabian Christoffel, Bibek Paudel, Chris Newell, Abraham Bernstein |
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37 |
Cold-Start Item and User Recommendation with Decoupled Completion and Transduction |
Iman Barjasteh, Rana Forsati, Farzan Masrour, AbdolHossein Esfahanian, Hayder Radha |
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36 |
Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models |
Mehdi Hosseinzadeh Aghdam, Negar Hariri, Bamshad Mobasher, Robin D. Burke |
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34 |
E-commerce Recommendation with Personalized Promotion |
Qi Zhao, Yi Zhang, Daniel Friedman, Fangfang Tan |
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33 |
Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks |
Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh |
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31 |
PushTrust: An Efficient Recommendation Algorithm by Leveraging Trust and Distrust Relations |
Rana Forsati, Iman Barjasteh, Farzan Masrour, AbdolHossein Esfahanian, Hayder Radha |
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28 |
Elsevier Journal Finder: Recommending Journals for your Paper |
Ning Kang, Marius A. Doornenbal, Robert J. A. Schijvenaars |
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26 |
Top-N Recommendation for Shared Accounts |
Koen Verstrepen, Bart Goethals |
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20 |
Improving the User Experience during Cold Start through Choice-Based Preference Elicitation |
Mark P. Graus, Martijn C. Willemsen |
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20 |
Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging |
Santiago Larrain, Christoph Trattner, Denis Parra, Eduardo GraellsGarrido, Kjetil Nørvåg |
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18 |
ExcUseMe: Asking Users to Help in Item Cold-Start Recommendations |
Michal Aharon, Oren Anava, Noa AvigdorElgrabli, Dana DrachslerCohen, Shahar Golan, Oren Somekh |
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16 |
It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering |
Shaghayegh Sahebi, Peter Brusilovsky |
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15 |
Gaussian Ranking by Matrix Factorization |
Harald Steck |
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15 |
Data Quality Matters in Recommender Systems |
Oren Sar Shalom, Shlomo Berkovsky, Royi Ronen, Elad Ziklik, Amihood Amir |
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14 |
Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems |
Élie GuàrdiaSebaoun, Vincent Guigue, Patrick Gallinari |
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13 |
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study |
Dominik Kowald, Elisabeth Lex |
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12 |
Incremental Matrix Factorization via Feature Space Re-learning for Recommender System |
Qiang Song, Jian Cheng, Hanqing Lu |
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12 |
Exploiting Geo-Spatial Preference for Personalized Expert Recommendation |
Haokai Lu, James Caverlee |
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10 |
We Know Where You Should Work Next Summer: Job Recommendations |
Fabian Abel |
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10 |
Recommending Fair Payments for Large-Scale Social Ridesharing |
Filippo Bistaffa, Alessandro Farinelli, Georgios Chalkiadakis, Sarvapali D. Ramchurn |
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9 |
Nudging Grocery Shoppers to Make Healthier Choices |
Elizabeth Wayman, Sriganesh Madhvanath |
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8 |
Risk-Hedged Venture Capital Investment Recommendation |
Xiaoxue Zhao, Weinan Zhang, Jun Wang |
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6 |
A Study of Priors for Relevance-Based Language Modelling of Recommender Systems |
Daniel Valcarce, Javier Parapar, Alvaro Barreiro |
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5 |
Selection and Ordering of Linear Online Video Ads |
Wreetabrata Kar, Viswanathan Swaminathan, Paulo Albuquerque |
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5 |
The Role of User Location in Personalized Search and Recommendation |
Ido Guy |
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3 |
Nuke 'Em Till They Go: Investigating Power User Attacks to Disparage Items in Collaborative Recommenders |
Carlos E. Seminario, David C. Wilson |
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3 |
Asymmetric Recommendations: The Interacting Effects of Social Ratings? Direction and Strength on Users' Ratings |
Oded Nov, Ofer Arazy |
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3 |
Making the Most of Preference Feedback by Modeling Feature Dependencies |
S. Chandra Mouli, Sutanu Chakraborti |
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3 |
Recommendations in Travel |
Onno Zoeter |
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2 |
Making Meaningful Restaurant Recommendations At OpenTable |
Sudeep Das |
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2 |
Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates |
Elizabeth Daly, Michele Berlingerio, François Schnitzler |
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2 |
Large-Scale Real-Time Product Recommendation at Criteo |
Romain Lerallut, Diane Gasselin, Nicolas Le Roux |
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1 |
The Application of Recommender Systems in a Multi Site, Multi Domain Environment |
Steven Bourke |
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1 |
Assessing Expertise in the Enterprise: The Recommender Point of View |
Aleksandra Mojsilovic, Kush R. Varshney |
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1 |
Are Real-World Place Recommender Algorithms Useful in Virtual World Environments? |
Leandro Balby Marinho, Christoph Trattner, Denis Parra |
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1 |
Personalized Catch-up & DVR: VOD or Linear, That is the Question |
Pancrazio Auteri, Roberto Turrin |
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0 |
Recommendations for Live TV |
Jan Neumann, Hassan Sayyadi |
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code |
0 |
Scaling Up Recommendation Services in Many Dimensions |
Bottyán Németh |
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0 |
A (Persuasive?) Speech on Automated Persuasion |
Oliviero Stock |
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0 |
Scalable Recommender Systems: Where Machine Learning Meets Search |
Si Ying Diana Hu, Joaquin Delgado |
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-1 |
Automated Recommendation of Healthy, Personalised Meal Plans |
Morgan Harvey, David Elsweiler |
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code |
-1 |
Top-N Recommendation with Missing Implicit Feedback |
Daryl Lim, Julian J. McAuley, Gert R. G. Lanckriet |
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-1 |
Factorization Machines for Hybrid Recommendation Systems Based on Behavioral, Product, and Customer Data |
Stijn Geuens |
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code |
-1 |
Online Recommender Systems based on Data Stream Management Systems |
Cornelius A. Ludmann |
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code |
-1 |
Event Recommendation using Twitter Activity |
Axel Magnuson, Vijay Dialani, Deepa Mallela |
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-1 |
Real-time Recommendation of Streamed Data |
Frank Hopfgartner, Benjamin Kille, Tobias Heintz, Roberto Turrin |
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-1 |
Exploring Statistical Language Models for Recommender Systems |
Daniel Valcarce |
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-1 |
"Please, Not Now!": A Model for Timing Recommendations |
Nofar Dali Betzalel, Bracha Shapira, Lior Rokach |
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-1 |
POI Recommendation: Towards Fused Matrix Factorization with Geographical and Temporal Influences |
JeanBenoît Griesner, Talel Abdessalem, Hubert Naacke |
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-1 |
The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data |
Sam Banks, Rachael Rafter, Barry Smyth |
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-1 |
Towards Automatic Meal Plan Recommendations for Balanced Nutrition |
David Elsweiler, Morgan Harvey |
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code |
-1 |
A Personalised Reader for Crowd Curated Content |
Gabriella Kazai, Daoud Clarke, Iskander Yusof, Matteo Venanzi |
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-1 |
CNARe: Co-authorship Networks Analysis and Recommendations |
Guilherme A. de Sousa, Matheus A. Diniz, Michele A. Brandão, Mirella M. Moro |
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-1 |
Health-aware Food Recommender System |
Mouzhi Ge, Francesco Ricci, David Massimo |
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code |
-1 |
Kibitz: End-to-End Recommendation System Builder |
Quanquan C. Liu, David R. Karger |
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code |
-1 |
OSMRec Tool for Automatic Recommendation of Categories on Spatial Entities in OpenStreetMap |
Nikos Karagiannakis, Giorgos Giannopoulos, Dimitrios Skoutas, Spiros Athanasiou |
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-1 |
Interactive Recommender Systems: Tutorial |
Harald Steck, Roelof van Zwol, Chris Johnson |
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code |
-1 |
Replicable Evaluation of Recommender Systems |
Alan Said, Alejandro Bellogín |
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code |
-1 |
A Hybrid Recommendation System Based on Human Curiosity |
Alan Menk dos Santos |
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code |
-1 |
Latent Context-Aware Recommender Systems |
Moshe Unger |
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-1 |
Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach |
Fangjian Guo, David B. Dunson |
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-1 |
User Churn Migration Analysis with DEDICOM |
Rafet Sifa, César Ojeda, Christian Bauckhage |
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code |
-1 |
RecSys Challenge 2015 and the YOOCHOOSE Dataset |
David BenShimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle |
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code |
-1 |
Context-aware Preference Modeling with Factorization |
Balázs Hidasi |
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code |
-1 |
Listener-Inspired Automated Music Playlist Generation |
Andreu Vall |
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code |
-1 |