Hierarchical clustering based Intelligent Information Retrieval approach
Potnuru Sai Nishant, Shashi Mehrotra, Patchava Ramya Sree, P. L. Srikanth · 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT) · 2020
In this digitalera, there is an enormous increase in the digital documents due to the use of the internet. Despite the hype, in the processing of digital documents, the problem of polysemy interprets more than one meaning for a single word. Hence the polysemy related queries will adversely affect the relevant result retrieval process. The paper addresses the polysemyissue on information retrieval paradigm and used clustering as a tool for improving the accuracy and appropriateness in the information retrieval process. This paper proposed a novel approach that generates a coherent group for the query topic. The proposed model is a hybrid of the k-means algorithm and the hierarchical approach named as HK clustering model to utilize the efficiency of both the strategies and overcome the drawbacks of each other.