Performance Enhancement of Information Retrieval via Artificial Intelligence

Authors(2) :-Lovee Sharma, Vivek Srivastava

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.

Authors and Affiliations

Lovee Sharma
Department of Computer Science and Engineering, AK Technical University, Lucknow, Uttar Pradesh, India
Vivek Srivastava
Department of Mechanical Engineering, BBD University, Lucknow, Uttar Pradesh, India

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 : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 187-192
Manuscript Number : IJSRSET173141
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.187-192 , January-February-2017.
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