DocumentCode :
3171366
Title :
IntelliSearch: A search engine based on Big Data analytics integrated with crowdsourcing and category-based search
Author :
Lakhani, Ajeet ; Gupta, Ashish ; Chandrasekaran, K.
Author_Institution :
Dept. of Comput. Sci. & Eng., NITK Surathkal, Mangalore, India
fYear :
2015
fDate :
19-20 March 2015
Firstpage :
1
Lastpage :
6
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.
Keywords :
Big Data; Internet; data analysis; data mining; outsourcing; search engines; Big Data analytics; IntelliSearch; Internet; Web-analytics toolbars; active online community; category based search feature; crowdsourcing; data mining; search engine; standard ranking system; Big data; Computers; Crowdsourcing; Google; Search engines; Web pages; Big Data analytics; Crowdsourcing; reviews and ratings; search engines; web-analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
Conference_Location :
Nagercoil
Type :
conf
DOI :
10.1109/ICCPCT.2015.7159403
Filename :
7159403
Link To Document :
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