International Journal of Science, Engineering and TechnologyAuthors: Atul Parjapati, Manav Kumar
Abstract: Rapid growth in the availability of digital aca-demic libraries is increasing information retrieval complexities. Keyword-based mechanisms cannot understand user queries and do not support any form of personalization, thus making knowledge acquisition cumbersome. This research paper presents an intelligent AI-enabled digital library model that combines conversational intelligence with a rule-based ranking system. Different from traditional machine learning models, the pre-sented approach does not involve complex and computationally expensive learning but remains accurate and efficient at the same time. According to experimental tests, the new method produces better precision (0.84), recall (0.81), and faster response time (1.15 seconds).
DOI: http://doi.org/10.5281/zenodo.20624585
