A Multi-Objective Genetic Algorithm for Learning Linguistic Persistent Queries in Text Retrieval Environments

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@InCollection{DBLP:series/sci/LuqueCH06,

• author = "Maria Luque and Oscar Cordon and Enrique Herrera-Viedma",
• title = "A Multi-Objective Genetic Algorithm for Learning Linguistic Persistent Queries in Text Retrieval Environments",
• booktitle = "Multi-Objective Machine Learning",
• editor = "Yaochu Jin",
• year = "2006",
• pages = "601--627",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• publisher = "Springer",
• series = "Studies in Computational Intelligence",
• volume = "16",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-540-30676-4",
• DOI = "doi:10.1007/3-540-33019-4_26",
• abstract = "Persistent queries are a specific kind of queries used in information retrieval systems to represent a user's long-term standing information need. These queries can present many different structures, being the bag of words that most commonly used. They can be sometimes formulated by the user, although this task is usually difficult for him and the persistent query is then automatically derived from a set of sample documents he provides.",

}

Genetic Programming entries for Maria Luque Rodriguez Oscar Cordon Enrique Herrera Viedma

Citations