An adaptive crossover distribution mechanism for genetic algorithms
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Probabilistic and genetic algorithms in document retrieval
Communications of the ACM
Adapting operator probabilities in genetic algorithms
Proceedings of the third international conference on Genetic algorithms
Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Journal of the American Society for Information Science
Readings in information retrieval
Journal of the American Society for Information Science
A fuzzy genetic algorithm approach to an adaptive information retrieval agent
Journal of the American Society for Information Science
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Discovering knowledge from noisy databases using genetic programming
Journal of the American Society for Information Science
Applying genetic algorithms to query optimization in document retrieval
Information Processing and Management: an International Journal
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Extraction, Construction and Selection: A Data Mining Perspective
Evolutionary Art and Computers
Evolutionary Art and Computers
Polar IFS+Parisian Genetic Programming=Efficient IFS Inverse Problem Solving
Genetic Programming and Evolvable Machines
Dynamic Flies: Using Real-Time Parisian Evolution in Robotics
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
On Generating HTML Style Sheets with an Interactive Genetic Algorithm Based on Gene Frequencies
AE '99 Selected Papers from the 4th European Conference on Artificial Evolution
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
The cooperative royal road: avoiding hitchhiking
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
| Hi-index | 0.00 |
Decomposing a very complex problem into smaller subproblems that are much easier to solve is not a new idea. The "Parisian Approach"[9] applies this principle extensively to shatter complexity by cutting down the original problem into many small subproblems that are then globally optimized thanks to an evolutionary algorithm. This paper describes how this approach has been used to interactively evolve a user profile to be used by a search engine. User queries are rewritten thanks to the evolved profile, resulting in an increased diversity in the retrieved documents that is showing an interesting property: even though precision is lost, retrieved documents relate both to the user's query and to his areas of interest in a manner that evokes "lateral thinking". This paper describes ELISE, an Evolutionary Learning Interactive Search Engine that interactively evolves rewriting modules and rules (some kind of elaborated user profile) along a Parisian Approach. Results obtained over a public domain benchmark (Cystic Fibrosis Database) are presented and discussed.