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Effective and diverse POI recommendations through complementary diversification models., , , , , and . Expert Syst. Appl., (2021)On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction., , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4003-4014. Association for Computational Linguistics, (2021)Please please me: does the presence of test cases influence mobile app users' satisfaction?, , , , , and . SBES, page 132-141. ACM, (2018)Exploiting contexts to deal with uncertainty in classification., , , , , and . KDD Workshop on Knowledge Discovery from Uncertain Data, page 19-22. ACM, (2009)A Stacking Recommender System Based on Contextual Information for Fashion Retails., , , , , , and . ICCSA (1), volume 13375 of Lecture Notes in Computer Science, page 560-574. Springer, (2022)Creating an Academic Conversational Agent for Dynamic Information Retrieval., , , , , and . SBSI, page 37:1-37:8. ACM, (2020)A characterization methodology for candidates and recruiters interaction in online recruitment services., , and . WebMedia, page 333-340. ACM, (2019)Exploiting the user activity-level to improve the models' accuracy in point-of-interest recommender systems., , , , and . WebMedia, page 341-348. ACM, (2019)Understanding temporal aspects in document classification., , , , , and . WSDM, page 159-170. ACM, (2008)Offline Metrics for Evaluating Explanation Goals in Recommender Systems., , and . CoRR, (2023)