Application of Clustering for Improving Search Result of a Website
Shashi Mehrotra, Shruti Kohli · Advances in intelligent systems and computing · 2016
The paper identifies the scope of improvement in the search result of a website using the clustering technique. Search option is extensively used at almost every website. The study uses hybrid clustering approach for grouping the search results into the relevant folders for efficient analysis. Every clustering algorithm has some advantages and disadvantages. Some of the most commonly used clustering algorithm are experimented on same data set. The paper analyzed some research where clustering is being used for improving web elements in various way. Cross-validation method is adopted for the experiments, and performance parameters namely, relevance, speed and user satisfaction are considered for the evaluation.