INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
We address the problems associated with information retrieval on the internet in our research, "Enhancing Information Retrieval Effectiveness through Dynamic Query Expansion and Personalization," where large volumes of data can result in inconsistencies between search queries and pertinent content. Using machine learning techniques such as BERT and KeyBERT for optimal feature selection and similarity for accurate document-query matching, we propose an intelligent, personalized web search system. We used an SVM model to classify user interests, integrated a feedback module for customization, and implemented this in Python. Our findings show notable gains in the efficacy of information retrieval, providing more focused and customized search results across the extensive web information space.
Keywords:
information retrieval, personalization, relevance feedback, BERT, keybert, natural language processing, machine learning, search performance, user experience, search results
Cite Article:
"Enhancing Information Retrieval Effectiveness through Dynamic Query Expansion and Personalization", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.a106-a115, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312018.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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