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Performance Enhancement of Information Retrieval via Artificial Intelligence


Lovee Sharma, Vivek Srivastava
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Big data is an ocean of data, most of it unstructured, growing exponentially, requires proper strategies and techniques to deal with it. But it is not the major concern of data scientist where as cost effectiveness, dealing with unstructured data, managing the data effectively, controlling its growth, making raw data useful, its storage are the major challenges. There has been an increasing interest in the application of AI tools to IR in the last few years. Concretely, the machine learning paradigm whose aim is the design of system able to automatically acquire knowledge by themselves. In the light of requirement of intelligent processing of the big data so as to retrieve the information as per the business requirement, authors have proposed a novel architecture. Proposed architecture may help in faster information retrieval with better accuracy and recall.

Lovee Sharma, Vivek Srivastava

Information Retrieval, Artificial Intelligence, Big Data, Map Reduce

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Publication Details

Published in : Volume 3 | Issue 1 | January-February - 2017
Date of Publication Print ISSN Online ISSN
2017-02-28 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
IJSRSET173141   Technoscience Academy

Cite This Article

Lovee Sharma, Vivek Srivastava, "Performance Enhancement of Information Retrieval via Artificial Intelligence", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 1, pp., January-February-2017.
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