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Document Comprehensiveness and User Preferences in Novelty Search Tasks.

, , and . SIGIR, page 735-738. ACM, (2015)

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Improving Ranking and Robustness of Search Systems by Exploiting the Popularity of Documents., and . AIRS, volume 9460 of Lecture Notes in Computer Science, page 174-187. Springer, (2015)Document Comprehensiveness and User Preferences in Novelty Search Tasks., , and . SIGIR, page 735-738. ACM, (2015)University of Delaware at TREC 2014., , , and . TREC, volume 500-308 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2014)Overview of the TREC 2013 Session Track., , , , and . TREC, volume 500-302 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2013)Aggregating Results from Multiple Related Queries to Improve Web Search over Sessions., and . AIRS, volume 8870 of Lecture Notes in Computer Science, page 172-183. Springer, (2014)Udel @ NTCIR-11 IMine Track., , and . NTCIR, National Institute of Informatics (NII), (2014)Generating Pseudo Search History Data in the Absence of Real Search History., and . DEXA (2), volume 9828 of Lecture Notes in Computer Science, page 410-417. Springer, (2016)Fusing Search Results from Possible Alternative Queries., and . WI, page 606-609. IEEE Computer Society, (2016)Dynamic Test Collections for Retrieval Evaluation., , and . ICTIR, page 91-100. ACM, (2015)PDF: A Probabilistic Data Fusion Framework for Retrieval and Ranking., and . ICTIR, page 31-39. ACM, (2016)