AI For Information Retrieval: Advancements in Search Engines and Chatbots through Deep Learning-Based Query Understanding.
Author(s): Gaurav Kashyap
Publication #: 2412046
Date of Publication: 02.01.2021
Country: USA
Pages: 1-7
Published In: Volume 7 Issue 1 January-2021
DOI: https://doi.org/10.5281/zenodo.14383819
Abstract
Due to developments in artificial intelligence (AI), particularly deep learning, information retrieval (IR) has undergone significant change in recent years. Search engines and chatbots now comprehend user queries and provide precise, pertinent, and contextual responses thanks to deep learning algorithms. This paper discusses artificial intelligence (AI) and modern information retrieval systems, with a focus on how deep learning models can be applied to search engine and chatbot query interpretation. It examines the challenges and advancements in the field, such as semantic search and natural language processing (NLP), and how these technologies can improve user experience. I also discuss pertinent applications and future directions in AI-based information retrieval.
Recent years have seen a dramatic change in the field of information retrieval, primarily due to developments in deep learning and its use in natural language processing. These developments have greatly benefited search engines and chatbots, two well-known examples of information retrieval systems, which now understand queries better and provide more pertinent and contextual responses.
Keywords: AI, Information Retrieval, Natural Language Processing (NLP), Deep Learning, Chatbot, ChatGPT
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