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How good your recommender system is? A survey on evaluations in recommendation

, , , , and . International Journal of Machine Learning and Cybernetics, 10 (5): 813--831 (May 1, 2019)
DOI: 10.1007/s13042-017-0762-9

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A framework for unexpectedness evaluation in recommendation., , , and . SAC, page 1662-1667. ACM, (2017)Evaluating Dynamic Scheduling of Tasks in Mobile Architectures Using ParallelME Framework., , , , , , , and . ICCS (3), volume 10862 of Lecture Notes in Computer Science, page 744-751. Springer, (2018)How good your recommender system is? A survey on evaluations in recommendation, , , , and . International Journal of Machine Learning and Cybernetics, 10 (5): 813--831 (May 1, 2019)SACI: Sentiment analysis by collective inspection on social media content., , , , , , , and . J. Web Semant., (2015)FAiR: A Framework for Analyses and Evaluations on Recommender Systems., , , , , , and . ICCSA (3), volume 10962 of Lecture Notes in Computer Science, page 383-397. Springer, (2018)LEGi: context-aware lexicon consolidation by graph inspection., , , , , and . SAC, page 302-307. ACM, (2014)Combining Data Mining Techniques to Enhance Cardiac Arrhythmia Detection., , , , , , and . ICCS (2), volume 10861 of Lecture Notes in Computer Science, page 321-333. Springer, (2018)Formação continuada de professores para uso de Tecnologias da Informação e Comunicação (TIC) no Brasil., , and . Revista Brasileira de Informática na Educ., (2021)Using Aspect-Based Analysis for Explainable Sentiment Predictions., , and . NLPCC (2), volume 11839 of Lecture Notes in Computer Science, page 617-627. Springer, (2019)Sleep Stages Classification Using Spectral Based Statistical Moments as Features., , , , and . RITA, 25 (1): 11-22 (2018)