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Minimal perfect hashing: A competitive method for indexing internal memory.

, , , and . Inf. Sci., 181 (13): 2608-2625 (2011)

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Evolutionary rank aggregation for recommender systems., , , and . CEC, page 255-262. IEEE, (2016)Multimodal data fusion framework based on autoencoders for top-N recommender systems., , , , and . Appl. Intell., 49 (9): 3267-3282 (2019)Multi-objective Evolutionary Rank Aggregation for Recommender Systems., , , and . CEC, page 1-8. IEEE, (2018)Building user profiles to improve user experience in recommender systems., and . WSDM, page 759-764. ACM, (2013)Exploratory and interactive daily deals recommendation., , and . RecSys, page 439-442. ACM, (2013)On Modeling Context from Objects with a Long Short-Term Memory for Indoor Scene Recognition., , and . SIBGRAPI, page 249-256. IEEE, (2019)GUARD: A Genetic Unified Approach for Recommendation., , , , and . JIDM, 4 (3): 295-310 (2013)Adding Value to Daily-Deals Recommendation: Multi-armed Bandits to Match Customers and Deals., , and . BRACIS, page 216-221. IEEE, (2015)A computational approach to support the creation of terminological neologisms in sign languages., , , , and . Comp. Applic. in Engineering Education, 26 (3): 517-530 (2018)Multiobjective Pareto-Efficient Approaches for Recommender Systems., , , , , and . ACM TIST, 5 (4): 53:1-53:20 (2014)