Abstract
A query fired on web search engines provide snippets in a ranked order of most visited once at the top. The results obtained are easy and understandable for the user. Certain queries those are ambiguous in nature fail to provide best match results. Clustering can solve this problem to a certain extent. The use of tf-idf vector followed by clustering through k-means++ and reorganization of the snippets will make user find the search more easy.
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Kedia, S., Wagh, K., Chatur, P. (2018). Clustering and Visualization on Web Search Results: A Survey. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-10-8633-5_13
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DOI: https://doi.org/10.1007/978-981-10-8633-5_13
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