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A Probabilistic Approach for Discovering Difficult Course Topics Using Clickstream Data.

, , and . L@S, page 303-306. ACM, (2017)

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Smoothing document language models with probabilistic term count propagation., and . Inf. Retr., 11 (2): 139-164 (2008)Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002, , , , , , , , , and 26 other author(s). SIGIR Forum, 37 (1): 31--47 (2003)Error analysis of difficult TREC topics., , and . SIGIR, page 407-408. ACM, (2003)Positional language models for information retrieval., and . SIGIR, page 299-306. ACM, (2009)Text data management and analysis : a practical introduction to information retrieval and text mining, and . ACM Books acm Association for Computing Machinery, New York, NY, First edition edition, (2016)Identifying Compromised Accounts on Social Media Using Statistical Text Analysis., , and . CoRR, (2018)A two-stage mixture model for pseudo feedback., and . SIGIR, page 486-487. ACM, (2004)Document Language Models, Query Models, and Risk Minimization for Information Retrieval., and . SIGIR Forum, 51 (2): 251-259 (2017)DirichletRank: Solving the zero-one gap problem of PageRank., , , , and . ACM Trans. Inf. Syst., 26 (2): 10:1-10:29 (2008)Learning to rank for information retrieval (LR4IR 2009)., , and . SIGIR Forum, 43 (2): 41-45 (2009)