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Recommender systems help users find relevant items of interest, for example on e-commerce or media streaming sites.
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J.R. Norris. 1997 · 1997
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Data Preparation for Mining World Wide Web Browsing Patterns
Robert Cooley, Bamshad Mobasher, and Jaideep Srivastava. 1999 · 1999
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A Learning Agent for Wireless News Access. In IUI ’00
Daniel Billsus, Michael J. Pazzani, and James Chen. 2000 · 2000
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Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks. In ICDM ’02
Bamshad Mobasher, Honghua Dai, Tao Luo, and Miki Nakagawa. 2002 · 2002
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Amazon.Com Recommendations: Item-to-Item Collaborative Filtering
Greg Linden, Brent Smith, and Jeremy York. 2003 · 2003
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An MDP-Based Recommender System
Guy Shani, David Heckerman, and Ronen I. Brafman. 2005 · 2005
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Google News Personalization: Scalable Online Collaborative Filtering. In Proceedings of the 16th International Conference on World Wide Web
Abhinandan S. Das, Mayur Datar, Ashutosh Garg, and Shyam Rajaram. 2007 · 2007
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Web Query Recommendation via Sequential Query Prediction. In ICDE ’09
Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, and Hang Li. 2009 · 2009
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A Case Study on the Effectiveness of Recommendations in the Mobile Internet. In RecSys ’09
Dietmar Jannach and Kolja Hegelich. 2009 · 2009
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BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI ’09
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009 · 2009
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The YouTube Video Recommendation System. In RecSys ’10
James Davidson, Benjamin Liebald, Junning Liu, Palash Nandy, Taylor Van Vleet, Ullas Gargi, Sujoy Gupta, Yu He, Mike Lambert, Blake Livingston, and Dasarathi Sampath. 2010 · 2010
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Personalized News Recommendation Based on Click Behavior. In IUI ’10
Jiahui Liu, Peter Dolan, and Elin Rønby Pedersen. 2010 · 2010
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Factorizing Personalized Markov Chains for Next-basket Recommendation. In WWW ’10
Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2010 · 2010
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Statistical Models of Music-listening Sessions in Social Media. In WWW ’10
Elena Zheleva, John Guiver, Eduarda Mendes Rodrigues, and Nataša Milić-Frayling. 2010 · 2010
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Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
John Duchi, Elad Hazan, and Yoram Singer. 2011 · 2011
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The Natural Language of Playlists. In ISMIR ’11
Brian Mcfee and Gert Lanckriet. 2011 · 2011
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Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
Gediminas Adomavicius and YoungOk Kwon. 2012 · 2012
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Impact of Data Characteristics on Recommender Systems Performance
Gediminas Adomavicius and Jingjing Zhang. 2012 · 2012
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Playlist Prediction via Metric Embedding. In KDD ’12
Shuo Chen, Josh L. Moore, Douglas Turnbull, and Thorsten Joachims. 2012 · 2012
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Context-aware music recommendation based on latent topic sequential patterns. In RecSys ’12
Negar Hariri, Bamshad Mobasher, and Robin Burke. 2012 · 2012
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Hypergraph Models of Playlist Dialects. In ISMIR ’12
Brian McFee and Gert R. G. Lanckriet. 2012 · 2012
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Optimal Radio Channel Recommendations with Explicit and Implicit Feedback. In RecSys ’12
Omar Moling, Linas Baltrunas, and Francesco Ricci. 2012 · 2012
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Effective Next-items Recommendation via Personalized Sequential Pattern Mining. In DASFAA ’12, Volume Part II
Ghim-Eng Yap, Xiao-Li Li, and Philip S. Yu. 2012 · 2012
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ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler. 2012 · 2012
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Multi-space Probabilistic Sequence Modeling. In KDD ’13
Shuo Chen, Jiexun Xu, and Thorsten Joachims. 2013 · 2013
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Where You Like to Go Next: Successive Point-of-interest Recommendation. In IJCAI ’13
Chen Cheng, Haiqin Yang, Michael R. Lyu, and Irwin King. 2013 · 2013
Cited alongside, same era.
Personalized News Recommendation with Context Trees. In RecSys ’13
Florent Garcin, Christos Dimitrakakis, and Boi Faltings. 2013 · 2013
Cited alongside, same era.
FISM: Factored Item Similarity Models for top-N Recommender Systems. In KDD ’13
Santosh Kabbur, Xia Ning, and George Karypis. 2013 · 2013
Cited alongside, same era.
Collaborative Filtering Meets Next Check-in Location Prediction. In WWW ’13
Defu Lian, Vincent W. Zheng, and Xing Xie. 2013 · 2013
Cited alongside, same era.
Which App Will You Use Next?: Collaborative Filtering with Interactional Context. In RecSys ’13
Nagarajan Natarajan, Donghyuk Shin, and Inderjit S. Dhillon. 2013 · 2013
Cited alongside, same era.
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
Ruining He and Julian McAuley. 2016 · 2016
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Recommendations with a Purpose. In RecSys ’16
Dietmar Jannach and Gediminas Adomavicius. 2016 · 2016
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On the Value of Reminders Within E-Commerce Recommendations. In UMAP ’16
Lukas Lerche, Dietmar Jannach, and Malte Ludewig. 2016 · 2016
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Unified Point-of-Interest Recommendation with Temporal Interval Assessment. In KDD ’16
Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, and Hui Xiong. 2016 · 2016
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Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation. In ACM Learning @ Scale ’16
Siddharth Reddy, Igor Labutov, and Thorsten Joachims. 2016 · 2016
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Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, and Guoping Hu. 2013 · 2013
Cited alongside, same era.
Automated Generation of Music Playlists: Survey and Experiments
Geoffray Bonnin and Dietmar Jannach. 2014 · 2014
Cited alongside, same era.
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. In EMNLP ’14
Kyunghyun Cho, Bart van Merriënboer, Çağlar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Hidden Conditional Random Fields with Deep User Embeddings for Ad Targeting. In ICDM ’14
Nemanja Djuric, Vladan Radosavljevic, Mihajlo Grbovic, and Narayan Bhamidipati. 2014 · 2014
Cited alongside, same era.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Impact of Recommender Systems on Sales Volume and Diversity. In ICIS 2014
Dokyun Lee and Kartik Hosanagar. 2014 · 2014
Cited alongside, same era.
Factored MDPs for Detecting Topics of User Sessions. In RecSys ’14
Maryam Tavakol and Ulf Brefeld. 2014 · 2014
Cited alongside, same era.
Multi-Rate Deep Learning for Temporal Recommendation. In SIGIR ’16
Yang Song, Ali Mamdouh Elkahky, and Xiaodong He. 2016 · 2016
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Improved Recurrent Neural Networks for Session-based Recommendations. In DLRS ’16 Workshop at ACM RecSys
Yong Kiam Tan, Xinxing Xu, and Yong Liu. 2016 · 2016
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Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks. In RecSys ’16
Bartlomiej Twardowski. 2016 · 2016
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Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation. In RecSys ’16
Flavian Vasile, Elena Smirnova, and Alexis Conneau. 2016 · 2016
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A Dynamic Recurrent Model for Next Basket Recommendation. In SIGIR ’16
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, and Tieniu Tan. 2016 · 2016
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Long and Short-Term Recommendations with Recurrent Neural Networks. In UMAP ’17
Robin Devooght and Hugues Bersini. 2017 · 2017
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Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
Balázs Hidasi and Alexandros Karatzoglou. 2017 · 2017
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Leveraging Multi-Dimensional User Models for Personalized Next-Track Music Recommendation. In ACM SAC 2017
Dietmar Jannach, Iman Kamehkhosh, and Lukas Lerche. 2017a · 2017
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When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation. In RecSys ’17
Dietmar Jannach and Malte Ludewig. 2017 · 2017
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Session-based Item Recommendation in E-Commerce: On Short-Term Intents, Reminders, Trends, and Discounts
Dietmar Jannach, Malte Ludewig, and Lukas Lerche. 2017b · 2017
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A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation. In TempRec Workshop at ACM RecSys ’17
Iman Kamehkhosh, Dietmar Jannach, and Malte Ludewig. 2017 · 2017
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Recommending News Articles in the CLEF News Recommendation Evaluation Lab with the Data Stream Management System Odysseus. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation
Cornelius A. Ludmann. 2017 · 2017
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Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. In RecSys ’17
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, and Paolo Cremonesi. 2017 · 2017
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Deep Sequential Recommendation for Personalized Adaptive User Interfaces. In IUI ’17
Harold Soh, Scott Sanner, Madeleine White, and Greg Jamieson. 2017 · 2017
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StreamingRec: A Framework for Benchmarking Stream-based News Recommenders. In RecSys 2018
Michael Jugovac, Dietmar Jannach, and Mozhgan Karimi. 2018 · 2018
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News Recommender Systems - Survey and Roads Ahead
Mozhgan Karimi, Dietmar Jannach, and Michael Jugovac. 2018 · 2018
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Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. In KDD 2018
Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, and Enhong Chen. 2018 · 2018
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STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation. In KDD 2018
Qiao Liu, Yifu Zeng, Refuoe Mokhosi, and Haibin Zhang. 2018 · 2018
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Sequence-Aware Recommender Systems
Massimo Quadrana, Paolo Cremonesi, and Dietmar Jannach. 2018 · 2018
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Personalized Ranking Metric Embedding for Next New POI Recommendation. In IJCAI ’15
Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, and Quan Yuan. 2015 · 2075
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