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Article
Publication date: 14 November 2016

Bahjat Fatima, Huma Ramzan and Sohail Asghar

The purpose of this paper is to critically analyze the state-of-the-art session identification techniques used in web usage mining (WUM) process in terms of their…

Abstract

Purpose

The purpose of this paper is to critically analyze the state-of-the-art session identification techniques used in web usage mining (WUM) process in terms of their limitations, features, and methodologies.

Design/methodology/approach

In this research, systematic literature review has been conducted using review protocol approach. The methodology consisted of a comprehensive search for relevant literature over the period of 2005-2015, using four online database repositories (i.e. IEEE, Springer, ACM Digital Library, and ScienceDirect).

Findings

The findings revealed that this research area is still immature and existing literature lacks the critical review of recent session identification techniques used in WUM process.

Originality/value

The contribution of this study is to provide a structured overview of the research developments, to critically review the existing session identification techniques, highlight their limitations and associated challenges and identify areas where further improvements are required so as to complement the performance of existing techniques.

Details

Online Information Review, vol. 40 no. 7
Type: Research Article
ISSN: 1468-4527

Keywords

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Article
Publication date: 1 February 2005

Juan D. Velásquez, Sebastían A. Ríos, Alejandro Bassi, Hiroshi Yasuda and Terumasa Aoki

Since the creation of the web, the designers are looking for friendlier ways of make web page contents, which pictures, sounds, movies and free texts attract the users…

Abstract

Since the creation of the web, the designers are looking for friendlier ways of make web page contents, which pictures, sounds, movies and free texts attract the users’ interest. Special attention receive the text content, because is the most frequently parameter used to retrieve information from the web. A simple way in order to understand the user’s text preferences, could be collect the words used in a searching. However, this information is only well‐know for the owner of the specific searching engine. In this paper we introduce a methodology in order to extract the most interest words for a user in a particular web site, based of the user browsing behavior and the web page text content. The methodology was tested using data originated in a bank web site showing the effectiveness of our approach.

Details

International Journal of Web Information Systems, vol. 1 no. 1
Type: Research Article
ISSN: 1744-0084

Keywords

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