Priyanka Makkar and Payal Gulati (2010) A Novel Approach for Predicting User Behavior for Improving Web Performance

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A Novel Approach for Predicting User Behavior for Improving Web Performance

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CONTRIBUTORS:

	Author:	Priyanka Makkar
	Author:	Payal Gulati

JOURNAL:

International Journal on Computer Science and Engineering (IJCSE), 2(4), 1233 - 1236.

YEAR:

2010

PUB TYPE:

Journal Article

SUBJECT(S):

web log file, pattern discovery, petri nets, web site structure repository, prefetching.

DISCIPLINE:

Computer Science

HTTP:

http://www.enggjournals.com/ijcse/doc/IJCSE10-02-04-132.pdf

LANGUAGE:

English

PUB ID:

103-488-555 (Last edited on 2011/06/11 00:34:43 GMT-6)

SPONSOR(S):

ABSTRACT:
The rapid growth in the amount of information and the number of users has lead to difficulty in providing effective search services for the web users and increased web latency; resulting in decreased web performance. Although web performance can be improved by caching, the benefit of using it is rather limited owing to filling the cache with documents without any prior knowledge. Web prefetching becomes an attractive solution wherein forthcoming page accesses of a client are predicted, based on access log information. This paper proposes a novel approach for increasing web performance by analyzing and predicting user behavior both by collaborating information from user access log and website structure repository.

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