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Title: Intelligent artificial agent for information retrieval
Authors: Pulis, Michael
Azzopardi, Joel
Micallef, Jeffrey J.
Keywords: Information retrieval -- Methodology
Machine learning -- Technique
Deep learning (Machine learning)
Industries -- Databases
Artificial intelligence
Issue Date: 2022
Publisher: Springer
Citation: Pulis, M., Azzopardi, J., & Micallef, J. J. (2022). Intelligent Artificial Agent for Information Retrieval. In 20th International Conference on Practical Applications of Agents and Multi-Agent Systems: The PAAMS Collection, Aquila, Italy. 500-506.
Abstract: Throughout the day of the average employee at RS2, there will often be a need to search one of the company’s information repositories. Finding the information will often force employees to perform a context switch and search within the appropriate repository. We propose a system that will facilitate this process by creating a ChatBot that can perform the search within the company’s chat client by making use of the latest machine learning techniques, alongside several NLP techniques and established industry standard information retrieval technologies to allow for a single consolidated, optimised searching system. Results on benchmark datasets show that our system was able to achieve the best results when making use of a combination of traditional and modern techniques.
ISBN: 9783031181924
Appears in Collections:Scholarly Works - FacICTAI

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