Abstract
Now, we are flooded with data, yet we are starving for knowledge. The information we get is by using some platforms. Search engine acts as one of such platforms for getting information. So, when a user wants any information from the search engine, it should return some valid information. At first, the user gives his/her query to search engine. The query is matched with the documents present within the database of the search engine. This search engine uses different similarity functions to retrieve correct information from the database of the search engine. This similarity functions uses different mathematical ways to give a score. Now, the document from the database of the search engine which has the most significant score is retrieved. Like this, the results are retrieved and the user gets his/her information.
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Balabantaray, R.C., Ghosh, S. (2018). A Case Study for Ranking of Relevant Search Results. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 564. Springer, Singapore. https://doi.org/10.1007/978-981-10-6875-1_23
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DOI: https://doi.org/10.1007/978-981-10-6875-1_23
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