Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/35036
Title: | PARALLEL METAHEURISTIC FOR SEMANTIC BASED QUERY EXPANSION |
Authors: | BEKKARI, FOUAD AYACHI, NOUR ELHOUDA GHOULA, HADJER |
Keywords: | Information retrieval Query expansion ConceptNet Iterated local search(ILS) Accelerated particle swarm optimization(APSO) Parallel metaheuristic |
Issue Date: | 2023 |
Publisher: | UNIVERSITY OF KASDI MERBAH OUARGLA |
Abstract: | Word mismatch problem between the user’s query and the retrieved search results is one of the biggest problems facing the information retrieval(IR) field. Due to this problem, several techniques have been proposed such as query expansion(QE), which improves the IR performance by giving a more suitable extended query for users in comparison to the original query. In this work, we are looking for the best combination of the words in the extended queries using the semantic-based query expansion approach “ConceptNet”. To find these combinations we applied a low-level parallel metaheuristic Iterated local search(ILS) and a high-level parallel metaheuristic Accelerated particle swarm optimization(APSO) with Local search. |
URI: | https://dspace.univ-ouargla.dz/jspui/handle/123456789/35036 |
Appears in Collections: | Département d'informatique et technologie de l'information - Master |
Files in This Item:
File | Description | Size | Format | |
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AYACHI-GHOULA.pdf | 1,01 MB | Adobe PDF | View/Open |
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