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Recommender systems are one of the most successful applications of data mining and machine learning technology in practice.
Fast algorithms for mining association rules in large databases
R. Agrawal and R. Srikant · 1994
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Mining sequential patterns
R. Agrawal and R. Srikant · 1995
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Reinforcement learning: A survey
L. P. Kaelbling, M. L. Littman, and A. W. Moore · 1996
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A learning agent for wireless news access
D. Billsus, M. J. Pazzani, and J. Chen · 2000
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Using temporal data for making recommendations
A. Zimdars, D. M. Chickering, and C. Meek · 2001
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An introduction to hidden markov models and bayesian networks
Z. Ghahramani · 2002
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Using sequential and non-sequential patterns in predictive web usage mining tasks
B. Mobasher, H. Dai, T. Luo, and M. Nakagawa · 2002
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Latent dirichlet allocation
D. M. Blei, A. Y. Ng, and M. I. Jordan · 2003
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Impact of site characteristics on recommendation models based on association rules and sequential patterns
M. Nakagawa and B. Mobasher · 2003
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Query recommendation using query logs in search engines
R. Baeza-Yates, C. Hurtado, and M. Mendoza · 2004
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On prediction using variable order markov models
R. Begleiter, R. El-Yaniv, and G. Yona · 2004
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What we talk about when we talk about context
P. Dourish · 2004
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Evaluating collaborative filtering recommender systems
J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl · 2004
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An intelligent recommender system using sequential web access patterns
B. Zhou, S. C. Hui, and K. Chang · 2004
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Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
G. Adomavicius and A. Tuzhilin · 2005
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An MDP-based recommender system
G. Shani, D. Heckerman, and R. I. Brafman · 2005
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Fast generation of optimal music playlists using local search
S. Pauws, W. Verhaegh, and M. Vossen · 2006
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Hybrid web recommender systems
R. Burke · 2007
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Context-aware query suggestion by mining click-through and session data
H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li · 2008
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Mining negative sequential patterns for e-commerce recommendations
S.-C. Hsueh, M.-Y. Lin, and C.-L. Chen · 2008
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Smarter than Genius? Human Evaluation of Music Recommender Systems
L. Barrington, R. Oda, and G. R. G. Lanckriet · 2009
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Web query recommendation via sequential query prediction
Q. He, D. Jiang, Z. Liao, S. C. H. Hoi, K. Chang, E.-P. Lim, and H. Li · 2009
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Understanding user’s query intent with wikipedia
J. Hu, G. Wang, F. Lochovsky, J.-t. Sun, and Z. Chen · 2009
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Steerable playlist generation by learning song similarity from radio station playlists
F. Maillet, D. Eck, G. Desjardins, and P. Lamere · 2009
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BPR: Bayesian Personalized Ranking from Implicit Feedback
S. Rendle, C. Freudenthaler, Z. Gantner, and L. Schmidt-Thieme · 2009
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Performance of recommender algorithms on top-n recommendation tasks
P. Cremonesi, Y. Koren, and R. Turrin · 2010
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Collaborative filtering with temporal dynamics
Y. Koren · 2010
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Personalized news recommendation based on click behavior
J. Liu, P. Dolan, and E. R. Pedersen · 2010
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A taxonomy of sequential pattern mining algorithms
N. R. Mabroukeh and C. I. Ezeife · 2010
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Factorizing personalized markov chains for next-basket recommendation
S. Rendle, C. Freudenthaler, and L. Schmidt-Thieme · 2010
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Temporal recommendation on graphs via long- and short-term preference fusion
L. Xiang, Q. Yuan, S. Zhao, L. Chen, X. Zhang, Q. Yang, and J. Sun · 2010
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Non-redundant sequential association rule mining and application in recommender systems
H. Zang, Y. Xu, and Y. Li · 2010
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Statistical models of music-listening sessions in social media
E. Zheleva, J. Guiver, E. Mendes Rodrigues, and N. Milić-Frayling · 2010
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Context-aware recommender systems
G. Adomavicius and A. Tuzhilin · 2011
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The natural language of playlists
B. McFee and G. Lanckriet · 2011
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Recommendation systems with complex constraints: A course recommendation perspective
A. Parameswaran, P. Venetis, and H. Garcia-Molina · 2011
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Sequential event prediction with association rules
C. Rudin, B. Letham, A. Salleb-Aouissi, E. Kogan, and D. Madigan · 2011
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Context-aware query recommendation by learning high-order relation in query logs
X. Yan, J. Guo, and X. Cheng · 2011
Cited alongside, same era.
Playlist prediction via metric embedding
S. Chen, J. L. Moore, D. Turnbull, and T. Joachims · 2012
Cited alongside, same era.
Context-aware music recommendation based on latent topic sequential patterns
N. Hariri, B. Mobasher, and R. Burke · 2012
Cited alongside, same era.
Recommender Systems in Computer Science and Information Systems–A Landscape of Research
D. Jannach, M. Zanker, M. Ge, and M. Gröning · 2012
Cited alongside, same era.
Optimal radio channel recommendations with explicit and implicit feedback
O. Moling, L. Baltrunas, and F. Ricci · 2012
Cited alongside, same era.
A hidden markov model for collaborative filtering
N. Sahoo, P. V. Singh, and T. Mukhopadhyay · 2012
"Please, Not Now!": A Model for Timing Recommendations
N. Dali Betzalel, B. Shapira, and L. Rokach · 2015
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Personalized ranking metric embedding for next new POI recommendation
S. Feng, X. Li, Y. Zeng, G. Cong, Y. M. Chee, and Q. Yuan · 2015
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The Netflix recommender system: Algorithms, business value, and innovation
C. A. Gomez-Uribe and N. Hunt · 2015
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E-commerce in your inbox: Product recommendations at scale
M. Grbovic, V. Radosavljevic, N. Djuric, N. Bhamidipati, J. Savla, V. Bhagwan, and D. Sharp · 2015
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Adapting recommendations to contextual changes using hierarchical hidden markov models
M. Hosseinzadeh Aghdam, N. Hariri, B. Mobasher, and R. Burke · 2015
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"I Like to Explore Sometimes": Adapting to Dynamic User Novelty Preferences
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Cited alongside, same era.
Effective next-items recommendation via personalized sequential pattern mining
G.-E. Yap, X.-L. Li, and P. S. Yu · 2012
Cited alongside, same era.
A sequential recommendation approach for interactive personalized story generation
H. Yu and M. O. Riedl · 2012
Cited alongside, same era.
Increasing temporal diversity with purchase intervals
G. Zhao, M. L. Lee, W. Hsu, and W. Chen · 2012
Cited alongside, same era.
Evaluating the quality of generated playlists based on hand-crafted samples
G. Bonnin and D. Jannach · 2013
Cited alongside, same era.
Multi-space probabilistic sequence modeling
S. Chen, J. Xu, and T. Joachims · 2013
Cited alongside, same era.
Where you like to go next: Successive point-of-interest recommendation
C. Cheng, H. Yang, M. R. Lyu, and I. King · 2013
Cited alongside, same era.
K. Kapoor, V. Kumar, L. Terveen, J. A. Konstan, and P. Schrater · 2015
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Personalized tour recommendation based on user interests and points of interest visit durations
K. H. Lim, J. Chan, C. Leckie, and S. Karunasekera · 2015
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A critical review of recurrent neural networks for sequence learning
Z. C. Lipton, J. Berkowitz, and C. Elkan · 2015
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Personalized recommendation meets your next favorite
Q. Song, J. Cheng, T. Yuan, and H. Lu · 2015
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A hierarchical recurrent encoder-decoder for generative context-aware query suggestion
A. Sordoni, Y. Bengio, H. Vahabi, C. Lioma, J. Grue Simonsen, and J.-Y. Nie · 2015
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Modeling user activities on the web using paragraph vector
Y. Tagami, H. Kobayashi, S. Ono, and A. Tajima · 2015
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Large scale music recommendation
R. Turrin, A. Condorelli, R. Pagano, M. Quadrana, and P. Cremonesi · 2015
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Learning hierarchical representation model for nextbasket recommendation
P. Wang, J. Guo, Y. Lan, J. Xu, S. Wan, and X. Cheng · 2015
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Addressing cold start for next-song recommendation
S.-Y. Chou, Y.-H. Yang, J.-S. R. Jang, and Y.-C. Lin · 2016
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Recurrent marked temporal point processes: Embedding event history to vector
N. Du, H. Dai, R. Trivedi, U. Upadhyay, M. Gomez-Rodriguez, and L. Song · 2016
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Inferring a personalized next point-of-interest recommendation model with latent behavior patterns
J. He, X. Li, L. Liao, D. Song, and W. Cheung · 2016
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Fusing similarity models with markov chains for sparse sequential recommendation
R. He and J. McAuley · 2016
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Recommendations with a purpose
D. Jannach and G. Adomavicius · 2016
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User control in recommender systems: Overview and interaction challenges
D. Jannach, S. Naveed, and M. Jugovac · 2016
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On the value of reminders within e-commerce recommendations
L. Lerche, D. Jannach, and M. Ludewig · 2016
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Learning student and content embeddings for personalized lesson sequence recommendation
S. Reddy, I. Labutov, and T. Joachims · 2016
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Multi-rate deep learning for temporal recommendation
Y. Song, A. M. Elkahky, and X. He · 2016
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Modelling contextual information in session-aware recommender systems with neural networks
B. Twardowski · 2016
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Meta-prod2vec: Product embeddings using side-information for recommendation
F. Vasile, E. Smirnova, and A. Conneau · 2016
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Personalized course sequence recommendations
J. Xu, T. Xing, and M. van der Schaar · 2016
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A dynamic recurrent model for next basket recommendation
F. Yu, Q. Liu, S. Wu, L. Wang, and T. Tan · 2016
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Session-based recommendations using item embedding
A. Greenstein-Messica, L. Rokach, and M. Friedman · 2017
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The adressa dataset for news recommendation
J. A. Gulla, L. Zhang, P. Liu, O. Özgöbek, and X. Su · 2017
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Session-based item recommendation in e-commerce: On short-term intents, reminders, trends, and discounts
D. Jannach, M. Ludewig, and L. Lerche · 2017
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Efficient optimization of multiple recommendation quality factors according to individual user tendencies
M. Jugovac, D. Jannach, and L. Lerche · 2017
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User perception of next-track music recommendations
I. Kamehkhosh and D. Jannach · 2017
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Personalizing session-based recommendations with hierarchical recurrent neural networks
M. Quadrana, A. Karatzoglou, B. Hidasi, and P. Cremonesi · 2017
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Deep sequential recommendation for personalized adaptive user interfaces
H. Soh, S. Sanner, M. White, and G. Jamieson · 2017
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When and how to diversify – a multi-category utility model of consumer response to content recommendations
Y. Song, N. Sahoo, and E. Ofek · 2017
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Modeling the heterogeneous duration of user interest in time-dependent recommendation: A hidden semi-markov approach
H. Zhang, W. Ni, X. Li, and Y. Yang · 2017
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https://www.kaggle.com/c/outbrain-click-prediction/data , last accessed January 2018
2018
Closest in time.
https://www.kaggle.com/retailrocket/ecommerce-dataset , last accessed January 2018
2018
Closest in time.