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Using Association Rules to Discover Search Engines Related Queries.

, , , and . LA-WEB, page 66-71. IEEE Computer Society, (2003)

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Information and Data Management at PUC-Rio and UFMG., and . Proc. VLDB Endow., 11 (12): 2114-2129 (2018)Improving daily deals recommendation using explore-then-exploit strategies., , , and . Inf. Retr. Journal, 18 (2): 95-122 (2015)Learning Accurate and Interpretable Classifiers Using Optimal Multi-Criteria Rules., , and . J. Inf. Data Manag., 4 (3): 204-219 (2013)Information Retrieval Research at UFMG., , , , , and . J. Inf. Data Manag., 2 (2): 77-92 (2011)A genetic programming framework to schedule webpage updates., , , , , and . Inf. Retr. J., 18 (1): 73-94 (2015)Compression: A Key for Next-Generation Text Retrieval Systems., , , and . Computer, 33 (11): 37-44 (2000)Random Walks on the Reputation Graph., , , , , and . ICTIR, page 181-190. ACM, (2015)Set-based vector model: An efficient approach for correlation-based ranking., , , and . ACM Trans. Inf. Syst., 23 (4): 397-429 (2005)Simplified Relative Citation Ratio for Static Paper Ranking: UFMG/LATIN at WSDM Cup 2016., , , , and . CoRR, (2016)Understanding Content Reuse on the Web: Static and Dynamic Analyses., , and . WEBKDD, volume 4811 of Lecture Notes in Computer Science, page 227-246. Springer, (2006)