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Entity Came to Rescue - Leveraging Entities to Minimize Risks in Web Search.

, , and . TREC, Special Publication 500-308, National Institute of Standards and Technology (NIST), (2014)

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An Opinion-aware Approach to Contextual Suggestion., and . TREC, Special Publication 500-302, National Institute of Standards and Technology (NIST), (2013)An Exploraton of Ranking-Based Strategy for Contextual Suggestion., and . TREC, Special Publication 500-298, National Institute of Standards and Technology (NIST), (2012)Evaluating the Effectiveness of Axiomatic Approaches in Web Track., and . TREC, Special Publication 500-302, National Institute of Standards and Technology (NIST), (2013)Position and Velocity Aided Routing Protocol in Mobile Ad Hoc Networks., , and . JDCTA, 4 (3): 101-109 (2010)Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models., , , and . SIGIR, page 1129-1132. ACM, (2019)Evaluating Axiomatic Retrieval Models in the Core Track., , and . TREC, Special Publication 500-324, National Institute of Standards and Technology (NIST), (2017)Opinions matter: a general approach to user profile modeling for contextual suggestion., , , and . Inf. Retr. Journal, 18 (6): 586-610 (2015)Modeling of Precision ReliabiLity for NC Machine Tool Based on Multi-body System Theory., , , and . ICDMA, page 750-754. IEEE Computer Society, (2011)University of Delaware at TREC 2015: Combining Opinion Profile Modeling with Complex Context Filtering for Contextual Suggestion., and . TREC, Special Publication 500-319, National Institute of Standards and Technology (NIST), (2015)Repeatability Corner Cases in Document Ranking: The Impact of Score Ties., and . CoRR, (2018)