Improved Structured Robustness (I-SR): A Novel Approach to Predict Hard Keyword Queries
暂无分享,去创建一个
[1] M. Priya,et al. Efficient Prediction of Difficult Keyword Queries over Databases , 2018 .
[2] Ricardo Baeza-Yates,et al. Improved query difficulty prediction for the web , 2008, CIKM '08.
[3] W. Bruce Croft,et al. Ranking robustness: a novel framework to predict query performance , 2006, CIKM '06.
[4] Vishal Jain,et al. Ontology Based Information Retrieval Model in Semantic Web: A Review , 2014 .
[5] Djoerd Hiemstra,et al. Query Performance Prediction: Evaluation Contrasted with Effectiveness , 2010, ECIR.
[6] Timothy W. Finin,et al. Information Retrieval and the Semantic Web , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.
[7] Yeye He,et al. Keyword++ , 2010, Proc. VLDB Endow..
[8] Luis Gravano,et al. Efficient IR-Style Keyword Search over Relational Databases , 2003, VLDB.
[9] Oren Kurland,et al. Predicting Query Performance by Query-Drift Estimation , 2009, ICTIR.
[10] Falk Scholer,et al. Effective Pre-retrieval Query Performance Prediction Using Similarity and Variability Evidence , 2008, ECIR.
[11] Ms. Pratibha S. Sonakneware,et al. Ontology Based Approach for Domain Specific Semantic Information Retrieval System , 2014 .
[12] Paul N. Bennett,et al. Predicting Query Performance via Classification , 2010, ECIR.