Multiple query evaluation based on an enhanced genetic algorithm-Reference-Cited by-同舟云学术

Multiple query evaluation based on an enhanced genetic algorithm

Published:2003-03 Issue:2 Volume:39 Page:215-231
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Tamine Lynda,Chrisment Claude,Boughanem Mohand

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference27 articles.

1. Evolutionary algorithms in theory and practice;Bäck,1995

2. Intelligent mutation rate control in canonical genetic algorithms;Bäck,1997

3. Optimising similarity using multiquery relevance feedback;Bartell;Journal of the American Society for Information Science,1998

4. Effect of multiple query representations on information retrieval system performance;Belkin,1993

5. Boughanem, M., Chrisment, C., Mothe, J., Soule-Dupuy, C., & Tamine, L., (2000). In F. Crestani & G. Pasi (Eds.), Chapter in Connectionist and Genetic Approaches to Perform IR, Soft Computing, Techniques and Application (pp. 173–196)

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Information Retrieval and Artificial Intelligence;A Guided Tour of Artificial Intelligence Research;2020

2. Research and Implementation of Intelligent Test Paper Composition Based on Genetic Algorithm;2018 9th International Conference on Information Technology in Medicine and Education (ITME);2018-10

3. A Particle Swarm Optimization Algorithm for Web Information Retrieval;Information Retrieval and Management;2018

4. Exploring the space of information retrieval term scoring functions;Information Processing & Management;2017-03

5. A novel approach of cluster based optimal ranking of clicked URLs using genetic algorithm for effective personalized web search;Applied Soft Computing;2016-09