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An effective query recommendation approach using semantic strategies for intelligent information retrieval
Affiliation:1. School of IOT Engineering, Jiangnan University, Wuxi 214122, China;2. Department of Electronics and Information Engineering, Chonbuk National University, Jeonju, Jeonbuk 561756, Republic of Korea;1. Control Engineering and Intelligent Systems Group eXiT, University of Girona, Campus Montilivi Building PIV, 17071 Girona, Spain;2. Division of Cardiology, Pontchaillou University Hospital, Rennes F-35000, France;3. Université de Rennes 1, LTSI, Rennes F-35000, France;4. INSERM, U1099, Rennes F-35000, France;1. Institute of Elec and Information Engineering in Hunan University, Changsha 410082, China;2. INESC Porto and Faculty of Engineering, University of Porto, Porto 4099-002, Portugal;3. College of Computer Science, Beijing University of Information Science and Technology, Beijing, China;1. School of Mathematics and Computer Applications, Thapar University Patiala, Patiala 147004, Punjab, India;2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India;1. Badji Mokhtar University, LRS, Annaba, Algeria;2. Badji Mokhtar University, LRI, Annaba, Algeria;3. Université de Lorraine, LORIA, Nancy, France;4. CNRS UMR 7503, Nancy, France;5. Inria Nancy Grand Est, France;1. College of Biomedical Engineering and Instrument Science, Zhejiang University, 310008 Zhou Yiqing Building 510, Zheda road 38#, Hangzhou, Zhejiang, China;2. Department of Information and Communication Engineering, University of Murcia, Spain
Abstract:
Keywords:Query recommendation  Genetic algorithm  Knowledge discovery  Clustering  Information retrieval
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