| 2019 | "Just play something awesome": the personalization powering voice interactions at Pandora. Vito Claudio Ostuni |
| 2019 | A comparison of calibrated and intent-aware recommendations. Mesut Kaya, Derek G. Bridge |
| 2019 | A deep learning system for predicting size and fit in fashion e-commerce. Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann |
| 2019 | A generative model for review-based recommendations. Oren Sar Shalom, Guy Uziel, Amir Kantor |
| 2019 | A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang |
| 2019 | A recommender system for heterogeneous and time sensitive environment. Meng Wu, Ying Zhu, Qilian Yu, Bhargav Rajendra, Yunqi Zhao, Navid Aghdaie, Kazi A. Zaman |
| 2019 | A simple multi-armed nearest-neighbor bandit for interactive recommendation. Javier Sanz-Cruzado, Pablo Castells, Esther López |
| 2019 | ACM RecSys'19 late-breaking results (posters). Marko Tkalcic, Maria Soledad Pera |
| 2019 | Addressing delayed feedback for continuous training with neural networks in CTR prediction. Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszár, Steven Yoo, Wenzhe Shi |
| 2019 | Adversarial attacks on an oblivious recommender. Konstantina Christakopoulou, Arindam Banerjee |
| 2019 | Adversarial tensor factorization for context-aware recommendation. Huiyuan Chen, Jing Li |
| 2019 | Aligning daily activities with personality: towards a recommender system for improving wellbeing. Mohammed Khwaja, Miquel Ferrer, Jesus Omaña Iglesias, A. Aldo Faisal, Aleksandar Matic |
| 2019 | Are we really making much progress? A worrying analysis of recent neural recommendation approaches. Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach |
| 2019 | Asymmetric Bayesian personalized ranking for one-class collaborative filtering. Shan Ouyang, Lin Li, Weike Pan, Zhong Ming |
| 2019 | Attribute-aware non-linear co-embeddings of graph features. Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2019 | Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics. Pablo Sánchez, Alejandro Bellogín |
| 2019 | Bandit algorithms in recommender systems. Dorota Glowacka |
| 2019 | CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz |
| 2019 | Collective embedding for neural context-aware recommender systems. Felipe Soares Da Costa, Peter Dolog |
| 2019 | Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations. Cataldo Musto, Gaetano Rossiello, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro |
| 2019 | Compositional network embedding for link prediction. Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang |
| 2019 | Concept to code: deep learning for multitask recommendation. Omprakash Sonie |
| 2019 | Darwin & Goliath: a white-label recommender-system as-a-service with automated algorithm-selection. Jöran Beel, Alan Griffin, Conor O'Shea |
| 2019 | Data mining for item recommendation in MOBA games. Vladimir Araujo, Felipe Rios, Denis Parra |
| 2019 | Deep generative ranking for personalized recommendation. Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu |
| 2019 | Deep language-based critiquing for recommender systems. Ga Wu, Kai Luo, Scott Sanner, Harold Soh |
| 2019 | Deep social collaborative filtering. Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li |
| 2019 | Designer-driven add-to-cart recommendations. Sandhya Sachidanandan, Richard Luong, Emil S. Joergensen |
| 2019 | Designing for the better by taking users into account: a qualitative evaluation of user control mechanisms in (news) recommender systems. Jaron Harambam, Dimitrios Bountouridis, Mykola Makhortykh, Joris Van Hoboken |
| 2019 | Domain adaptation in display advertising: an application for partner cold-start. Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi |
| 2019 | Driving content recommendations by building a knowledge base using weak supervision and transfer learning. Sanghamitra Deb |
| 2019 | DualDiv: diversifying items and explanation styles in explainable hybrid recommendation. Kosetsu Tsukuda, Masataka Goto |
| 2019 | Efficient privacy-preserving recommendations based on social graphs. Aidmar Wainakh, Tim Grube, Jörg Daubert, Max Mühlhäuser |
| 2019 | Efficient similarity computation for collaborative filtering in dynamic environments. Olivier Jeunen, Koen Verstrepen, Bart Goethals |
| 2019 | Enhancing VAEs for collaborative filtering: flexible priors & gating mechanisms. Daeryong Kim, Bongwon Suh |
| 2019 | Explaining and exploring job recommendations: a user-driven approach for interacting with knowledge-based job recommender systems. Francisco Gutiérrez, Sven Charleer, Robin De Croon, Nyi Nyi Htun, Gerd Goetschalckx, Katrien Verbert |
| 2019 | Exploiting contextual information for recommender systems oriented to tourism. Pablo Sánchez |
| 2019 | Fairness and discrimination in recommendation and retrieval. Michael D. Ekstrand, Robin Burke, Fernando Diaz |
| 2019 | FiBiNET: combining feature importance and bilinear feature interaction for click-through rate prediction. Tongwen Huang, Zhiqi Zhang, Junlin Zhang |
| 2019 | Find my next job: labor market recommendations using administrative big data. Snorre S. Frid-Nielsen |
| 2019 | FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items. Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, Cheng-Te Li |
| 2019 | First workshop on the impact of recommender systems at ACM RecSys 2019. Oren Sar Shalom, Dietmar Jannach, Ido Guy |
| 2019 | Fourth international workshop on health recommender systems (HealthRecSys 2019). David Elsweiler, Bernd Ludwig, Alan Said, Hanna Schäfer, Helma Torkamaan, Christoph Trattner |
| 2019 | From preference into decision making: modeling user interactions in recommender systems. Qian Zhao, Martijn C. Willemsen, Gediminas Adomavicius, F. Maxwell Harper, Joseph A. Konstan |
| 2019 | Future of in-vehicle recommendation systems @ Bosch. Juergen Luettin, Susanne Rothermel, Mark Andrew |
| 2019 | Ghosting: contextualized inline query completion in large scale retail search. Lakshmi Ramachandran, Uma Murthy |
| 2019 | Greedy optimized multileaving for personalization. Kojiro Iizuka, Takeshi Yoneda, Yoshifumi Seki |
| 2019 | Groupon finally explains why we showed those offers. Sasank Channapragada, Harshit Syal, Ibrahim Maali |
| 2019 | Guiding creative design in online advertising. Shaunak Mishra, Manisha Verma, Jelena Gligorijevic |
| 2019 | Homepage personalization at spotify. Oguz Semerci, Alois Gruson, Catherine M. Edwards, Ben Lacker, Clay Gibson, Vladan Radosavljevic |
| 2019 | How can they know that?: a study of factors affecting the creepiness of recommendations. Helma Torkamaan, Catalin-Mihai Barbu, Jürgen Ziegler |
| 2019 | HybridSVD: when collaborative information is not enough. Evgeny Frolov, Ivan V. Oseledets |
| 2019 | IRF: interactive recommendation through dialogue. Oznur Alkan, Massimiliano Mattetti, Elizabeth M. Daly, Adi Botea, Inge Vejsbjerg |
| 2019 | Incorporating intent propensities in personalized next best action recommendation. Yuxi Zhang, Kexin Xie |
| 2019 | Interactive evaluation of recommender systems with SNIPER: an episode mining approach. Sandy Moens, Olivier Jeunen, Bart Goethals |
| 2019 | LORE: a large-scale offer recommendation engine with eligibility and capacity constraints. Rahul Makhijani, Shreya Chakrabarti, Dale Struble, Yi Liu |
| 2019 | Latent factor models and aggregation operators for collaborative filtering in reciprocal recommender systems. James Neve, Ivan Palomares |
| 2019 | Latent multi-criteria ratings for recommendations. Pan Li, Alexander Tuzhilin |
| 2019 | Leveraging post-click feedback for content recommendations. Hongyi Wen, Longqi Yang, Deborah Estrin |
| 2019 | Microsoft recommenders: tools to accelerate developing recommender systems. Scott Graham, Jun-Ki Min, Tao Wu |
| 2019 | Multi-armed recommender system bandit ensembles. Rocío Cañamares, Marcos Redondo, Pablo Castells |
| 2019 | Multi-stakeholder recommendations: case studies, methods and challenges. Yong Zheng |
| 2019 | Music cold-start and long-tail recommendation: bias in deep representations. Andres Ferraro |
| 2019 | Music recommendations in hyperbolic space: an application of empirical bayes and hierarchical poincaré embeddings. Timothy Schmeier, Joseph Chisari, Sam Garrett, Brett Vintch |
| 2019 | ORSUM 2019 2nd workshop on online recommender systems and user modeling. João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein |
| 2019 | On gossip-based information dissemination in pervasive recommender systems. Tobias Eichinger, Felix Beierle, Robin Papke, Lucas Rebscher, Hong Chinh Tran, Magdalena Trzeciak |
| 2019 | On the discriminative power of hyper-parameters in cross-validation and how to choose them. Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Claudio Pomo, Azzurra Ragone |
| 2019 | Online learning to rank for sequential music recommendation. Bruno L. Pereira, Alberto Ueda, Gustavo Penha, Rodrygo L. T. Santos, Nivio Ziviani |
| 2019 | Online ranking combination. Erzsébet Frigó, Levente Kocsis |
| 2019 | PAL: a position-bias aware learning framework for CTR prediction in live recommender systems. Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang |
| 2019 | PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor |
| 2019 | Pace my race: recommendations for marathon running. Jakim Berndsen, Barry Smyth, Aonghus Lawlor |
| 2019 | Performance comparison of neural and non-neural approaches to session-based recommendation. Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach |
| 2019 | Personalized diffusions for top-n recommendation. Athanasios N. Nikolakopoulos, Dimitris Berberidis, George Karypis, Georgios B. Giannakis |
| 2019 | Personalized fairness-aware re-ranking for microlending. Weiwen Liu, Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang |
| 2019 | Personalized re-ranking for recommendation. Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei |
| 2019 | Pick & merge: an efficient item filtering scheme for Windows store recommendations. Adi Makmal, Jonathan Ephrath, Hilik Berezin, Liron I. Allerhand, Nir Nice, Noam Koenigstein |
| 2019 | Predictability limits in session-based next item recommendation. Priit Järv |
| 2019 | Predicting online performance of job recommender systems with offline evaluation. Adrien Mogenet, Tuan-Anh Nguyen Pham, Masahiro Kazama, Jialin Kong |
| 2019 | Predicting user routines with masked dilated convolutions. Renzhong Wang, Dragomir Yankov, Michael R. Evans, Senthil Palanisamy, Siddhartha Arora, Wei Wu |
| 2019 | PrivateJobMatch: a privacy-oriented deferred multi-match recommender system for stable employment. Amar Saini, Florin Rusu, Andrew Johnston |
| 2019 | Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019. Toine Bogers, Alan Said, Peter Brusilovsky, Domonkos Tikk |
| 2019 | Product collection recommendation in online retail. Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou, Nian Yan, Unaiza Ahsan, Khalifeh Al Jadda, Huiming Qu |
| 2019 | PyRecGym: a reinforcement learning gym for recommender systems. Bichen Shi, Makbule Gulcin Ozsoy, Neil Hurley, Barry Smyth, Elias Z. Tragos, James Geraci, Aonghus Lawlor |
| 2019 | Quick and accurate attack detection in recommender systems through user attributes. Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal |
| 2019 | REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile |
| 2019 | RecSys '19 joint workshop on interfaces and human decision making for recommender systems. Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen |
| 2019 | RecSys challenge 2019: session-based hotel recommendations. Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Jens Adamczak, Gerard Paul Leyson, Philipp Monreal |
| 2019 | RecTour 2019: workshop on recommenders in tourism. Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Markus Zanker, Catalin-Mihai Barbu |
| 2019 | Recommendation in home improvement industry, challenges and opportunities. Khalifeh Al Jadda |
| 2019 | Recommendation in multistakeholder environments. Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang |
| 2019 | Recommendation systems compliant with legal and editorial policies: the BBC+ app journey. Maria Panteli |
| 2019 | Recommendations in a marketplace. Rishabh Mehrotra, Benjamin A. Carterette |
| 2019 | Recommender system for developing new preferences and goals. Yu Liang |
| 2019 | Recommender systems for contextually-aware, versioned items. Yayu Zhou |
| 2019 | Recommending what video to watch next: a multitask ranking system. Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi |
| 2019 | Relaxed softmax for PU learning. Ugo Tanielian, Flavian Vasile |
| 2019 | Revisiting offline evaluation for implicit-feedback recommender systems. Olivier Jeunen |
| 2019 | Rude awakenings from behaviourist dreams. Methodological integrity and the GDPR. Mireille Hildebrandt |
| 2019 | SMORe: modularize graph embedding for recommendation. Chih-Ming Chen, Ting-Hsiang Wang, Chuan-Ju Wang, Ming-Feng Tsai |
| 2019 | Sampling-bias-corrected neural modeling for large corpus item recommendations. Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, Ed H. Chi |
| 2019 | Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations. Emanuel Lacic, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex |
| 2019 | StoryTime: eliciting preferences from children for book recommendations. Ashlee Milton, Michael Green, Adam Keener, Joshua Ames, Michael D. Ekstrand, Maria Soledad Pera |
| 2019 | Style conditioned recommendations. Murium Iqbal, Kamelia Aryafar, Timothy Anderton |
| 2019 | The 7th international workshop on news recommendation and analytics (INRA 2019). Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Andreas Lommatzsch |
| 2019 | The influence of personal values on music taste: towards value-based music recommendations. Sandy Manolios, Alan Hanjalic, Cynthia C. S. Liem |
| 2019 | The trinity of luxury fashion recommendations: data, experts and experimentation. Ana Rita Magalhães |
| 2019 | Third workshop on recommendation in complex scenarios (ComplexRec 2019). Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin |
| 2019 | Time slice imputation for personalized goal-based recommendation in higher education. Weijie Jiang, Zachary A. Pardos |
| 2019 | Towards interactive recommending in model-based collaborative filtering systems. Benedikt Loepp, Jürgen Ziegler |
| 2019 | Traversing semantically annotated queries for task-oriented query recommendation. Arthur Câmara, Rodrygo L. T. Santos |
| 2019 | Uplift-based evaluation and optimization of recommenders. Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma |
| 2019 | User's activity driven short-term context inference. Miroslav Rac |
| 2019 | User-centered evaluation of strategies for recommending sequences of points of interest to groups. Daniel Herzog, Wolfgang Wörndl |
| 2019 | User-centric evaluation of session-based recommendations for an automated radio station. Malte Ludewig, Dietmar Jannach |
| 2019 | Users in the loop: a psychologically-informed approach to similar item retrieval. Amy A. Winecoff, Florin Brasoveanu, Bryce Casavant, Pearce Washabaugh, Matthew Graham |
| 2019 | Using AI to build communities around interests on LinkedIn. Abdulla Al-Qawasmeh, Ankan Saha |
| 2019 | Variational low rank multinomials for collaborative filtering with side-information. Ehtsham Elahi, Wei Wang, Dave Ray, Aish Fenton, Tony Jebara |
| 2019 | When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction. Gal Lavee, Noam Koenigstein, Oren Barkan |
| 2019 | Whose data traces, whose voices? Inequality in online participation and why it matters for recommendation systems research. Eszter Hargittai |
| 2019 | Workshop on context-aware recommender systems. Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2019 | Workshop on recommender systems in fashion (fashionXrecsys2019). Shatha Jaradat, Nima Dokoohaki, Humberto Jesús Corona Pampín, Reza Shirvany |