Deep Sequential Recommendation for Personalized Adaptive User Interfaces
暂无分享,去创建一个
[1] Vasilios Zarikas,et al. Modeling decisions under uncertainty in adaptive user interfaces , 2007, Universal Access in the Information Society.
[2] Scott Sanner,et al. Adapting level of detail in user interfaces for Cybersecurity operations , 2016, 2016 Resilience Week (RWS).
[3] Alexandros Karatzoglou,et al. Session-based Recommendations with Recurrent Neural Networks , 2015, ICLR.
[4] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[5] Wojciech Zaremba,et al. An Empirical Exploration of Recurrent Network Architectures , 2015, ICML.
[6] Neil T. Heffernan,et al. The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching , 2014, International Journal of Artificial Intelligence in Education.
[7] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[8] Richard I. Hartley,et al. Optimised KD-trees for fast image descriptor matching , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Ulrich Paquet,et al. Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces , 2014, RecSys '14.
[10] Daniel P. Siewiorek,et al. Using Crowd Sourcing to Measure the Effects of System Response Delays on User Engagement , 2016, CHI.
[11] Amar R. Marathe,et al. From Trust in Automation to Decision Neuroscience: Applying Cognitive Neuroscience Methods to Understand and Improve Interaction Decisions Involved in Human Automation Interaction , 2016, Front. Hum. Neurosci..
[12] Mohamed Nazih Omri,et al. Web User Interact Task Recognition Based on Conditional Random Fields , 2015, CAIP.
[13] Yoshua Bengio,et al. On Using Very Large Target Vocabulary for Neural Machine Translation , 2014, ACL.
[14] Avi Rushinek,et al. What makes users happy? , 1986, CACM.
[15] Yifeng Zeng,et al. Personalized Ranking Metric Embedding for Next New POI Recommendation , 2015, IJCAI.
[16] Eric Horvitz,et al. The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users , 1998, UAI.
[17] David G. Lowe,et al. Scalable Nearest Neighbor Algorithms for High Dimensional Data , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Thorsten Joachims,et al. Playlist prediction via metric embedding , 2012, KDD.
[19] David Heckerman,et al. Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.
[20] Zoubin Ghahramani,et al. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , 2015, ICML.
[21] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[22] Harold Soh,et al. Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process , 2016, IJCAI.
[23] Anis Elbahi,et al. Conditional Random Fields for Web User Task Recognition based on Human Computer Interaction , 2018 .
[24] Jiming Liu,et al. An Adaptive User Interface Based On Personalized Learning , 2003, IEEE Intell. Syst..
[25] William Nick Street,et al. Collaborative filtering via euclidean embedding , 2010, RecSys '10.
[26] Enhong Chen,et al. Personalized next-song recommendation in online karaokes , 2013, RecSys.
[27] Lars Schmidt-Thieme,et al. Factorizing personalized Markov chains for next-basket recommendation , 2010, WWW '10.