Big Data Information Retrieval Based Search Engine Optimzation Using K-Means Algorithm Optimization

Marzuki, Imam (2014) Big Data Information Retrieval Based Search Engine Optimzation Using K-Means Algorithm Optimization. In: Seminar on Intelligent Technology and Its Aplications, 22 mei 2014, Surabaya.

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Abstract

A search engine is said to be efficient if it is not optimized. Optimization in question is the process of improving search engine performance in terms of accuracy and speed . There have been many proposed techniques in search engine optimization . But of the technique still leaves the problem of the big search data. This is due to big data is dominated by unstructured data . Unstructured data have properties difficult to organize . Therefore , we need a special technique to overcome it. In this study , the authors tried to propose a search engine optimization techniques using centroid linkage hierarchical method. The output of the system is rated according to some document relevance. Measurement is done by knowing the value of precision, recall , and the travel time of the rated documents . It is useful to know the level of accuracy and speed of the search.The results of tests on a number of different data with a composition of 80% of documents related to the keyword "mencetak gol" shows the average value of 74% precision , average recall value of 78%, and the retrieval time is 0.5 sec.

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