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Improving daily deals recommendation using explore-then-exploit strategies., , , and . Inf. Retr. Journal, 18 (2): 95-122 (2015)Learning to Rank with Deep Autoencoder Features., , , , and . IJCNN, page 1-8. IEEE, (2018)Information Retrieval Research at UFMG., , , , , and . J. Inf. Data Manag., 2 (2): 77-92 (2011)Learning Accurate and Interpretable Classifiers Using Optimal Multi-Criteria Rules., , and . J. Inf. Data Manag., 4 (3): 204-219 (2013)Learning to Rank using Query-Level Rules., , , and . J. Inf. Data Manag., 1 (3): 567-582 (2010)Practical Detection of Spammers and Content Promoters in Online Video Sharing Systems., , , , , and . IEEE Trans. Syst. Man Cybern. Part B, 42 (3): 688-701 (2012)Deep Learning Techniques for Explainable Resource Scales in Collectible Card Games., , and . IEEE Trans. Games, 14 (1): 46-55 (2022)Context-Aware Deal Size Prediction., , , and . SPIRE, volume 8799 of Lecture Notes in Computer Science, page 256-267. Springer, (2014)Explainable Machine Learning for Fake News Detection., , , , and . WebSci, page 17-26. ACM, (2019)Automated Essay Scoring in the Presence of Biased Ratings., , and . NAACL-HLT, page 229-237. Association for Computational Linguistics, (2018)