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The matching scarcity problem: When recommenders do not connect the edges in recruitment services., , and . Expert Syst. Appl., (2021)Effective and diverse POI recommendations through complementary diversification models., , , , , and . Expert Syst. Appl., (2021)Offline Metrics for Evaluating Explanation Goals in Recommender Systems., , and . CoRR, (2023)A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification., , , , , and . ACM Comput. Surv., 55 (13s): 265:1-265:52 (2023)A Two-Stage Machine learning approach for temporally-robust text classification., , , , , and . Inf. Syst., (2017)Understanding temporal aspects in document classification., , , , , and . WSDM, page 159-170. ACM, (2008)Creating an Academic Conversational Agent for Dynamic Information Retrieval., , , , , and . SBSI, page 37:1-37:8. ACM, (2020)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)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)