Call For Paper Volume:4 Issue:8 Aug'2017 |

Mobile Agents for Distributed Information Retrieval

Publication Date : 31/03/2015



Author(s) :

ALTAF HUSAIN , SHREEDHAR YADAWAD , RANGANATH YADAWAD.


Volume/Issue :
Volume 2
,
Issue 3
(03 - 2015)



Abstract :

The emergence of Internet with millions of electronic stores, auctions and other services created the information is overloaded and it creates obstacle to the practical use and to obtain useful information over web. The use of mobile agents in this kind of applications that represents a beneficent mechanism and solves the problems present in centralized client-server systems, these are the programs with a persistent identity, move around a network and can communicate with this environment. We use optimized Mobile Agent system for the retrieval of distributed structured information in a scenario of retrieving and analyzing a specific product’s reviews and storing in database. An effective web mining technique based on review clustering proposed for assessing a customer review of a particular product stored in database. It can be performed by, clustering the reviews into four groups by applying k-means clustering technique and compute the cluster weights. Assess quality of the given reviews and classify them by considering the cluster weights. A summarized opinion is provided based on classification.


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Mobile Agents for Distributed Information Retrieval

March 24, 2015