Please use this identifier to cite or link to this item: http://idr.nitk.ac.in/jspui/handle/123456789/8329
Title: IntelliSearch: A search engine based on Big Data analytics integrated with crowdsourcing and category-based search
Authors: Lakhani, A.
Gupta, A.
Chandrasekaran, K.
Issue Date: 2015
Citation: IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2015, 2015, Vol., , pp.-
Abstract: Big Data is the technology that has changed the world. Its powerful abilities to process the data and generate the valuable data out of that has challenged the saying wisdom can be only possessed by those who have souls. Though the big data analytics is quite successful in mining the value out of the large pool of data but Big Data alone is not enough in case of web-analytics. The existing search engines lack the category based search feature and a standard ranking system for website. Crowdsourcing by involving active online community on internet is changing the shape of web applications by refining the data and improving the recommendations for the products. The paper discusses about the search engines, web-analytics toolbars and crowdsourcing to improve the web-analytics. The paper also discusses how integration of crowdsourcing with Big Data Analytics can result in 'IntelliSearch', a robust and reliable search engine. � 2015 IEEE.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/8329
Appears in Collections:2. Conference Papers

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