Evolution of user navigation behavior for online news

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Husna Sarirah Husin ◽  
James Thom ◽  
Xiuzhen Zhang
Keyword(s):  
Association Rules ◽  
User Behavior ◽  
Web Server ◽  
Online News ◽  
Data Set ◽  
Content Type ◽  
Main Page ◽  
Server Logs ◽  
Web Server Logs ◽  
The Web

Purpose The purpose of the study is to use web serer logs in analyzing the changes of user behavior in reading online news, in terms of desktop and mobile users. Advances in mobile technology and social media have paved the way for online news consumption to evolve. There is an absence of research into the changes of user behavior in terms of desktop versus mobile users, particularly by analyzing the server logs. Design/methodology/approach In this paper, the authors investigate the evolution of user behavior using logs from the Malaysian newspaper Berita Harian Online in April 2012 and April 2017. Web usage mining techniques were used for pre-processing the logs and identifying user sessions. A Markov model is used to analyze navigation flows, and association rule mining is used to analyze user behavior within sessions. Findings It was found that page accesses have increased tremendously, particularly from Android phones, and about half of the requests in 2017 are referred from Facebook. Navigation flow between the main page, articles and section pages has changed from 2012 to 2017; while most users started navigation with the main page in 2012, readers often started with an article in 2017. Based on association rules, National and Sports are the most frequent section pages in 2012 and 2017 for desktop and mobile. However, based on the lift and conviction, these two sections are not read together in the same session as frequently as might be expected. Other less popular items have higher probability of being read together in a session. Research limitations/implications The localized data set is from Berita Harian Online; although unique to this particular newspaper, the findings and the methodology for investigating user behavior can be applied to other online news. On another note, the data set could be extended to be more than a month. Although initially data for the year 2012 was collected, unfortunately only the data for April 2012 is complete. Other months have missing days. Therefore, to make an impartial comparison for the evolution of user behavior in five years, the Web server logs for April 2017 were used. Originality/value The user behavior in 2012 and 2017 was compared using association rules and Markov flow. Different from existing studies analyzing online newspaper Web server logs, this paper uniquely investigates changes in user behavior as a result of mobile phones becoming a mainstream technology for accessing the Web.

Building and Evaluating an Adaptive Smart Web Pages

2012 ◽  
Vol 3 (1) ◽  
pp. 30
Author(s):  
Mona M. Abu Al-Khair ◽  
M. Koutb ◽  
H. Kelash
Keyword(s):  
Web Server ◽  
Web Pages ◽  
Server Logs ◽  
Web Server Logs ◽  
The Web

Each year the number of consumers and the variety of their interests increase. As a result, providers are seeking ways to infer the customer's interests and to adapt their websites to make the content of interest more easily accessible. Assume that past navigation behavior as an indicator of the user's interests. Then, the records of this behavior, kept in the web-server logs, can be mined to extract the user's interests. On this principal, recommendations can be generated, to help old and new website's visitors to find the information about their interest faster.

From Editors' Choice to Readers’ Favorites: Analyzing Server Logs of China's Biggest Online Newspaper

2013 ◽  
Author(s):  
Yijun Gao
Keyword(s):  
Web Server ◽  
Online Newspaper ◽  
People’S Daily ◽  
The Common ◽  
Server Logs ◽  
People's Daily ◽  
Web Server Logs ◽  
The Web

This study analyzed the Web server logs from the People's Daily Online and revealed some interesting findings: Pageview numbers of the mportant news in editors’ mind on the most obvious sections of the homepage, are not significantly different than those of the "common" news put on the less obvious sections.Cette étude a porté sur l'analyse des fichiers de journalisation de serveurs Web du Quotidien du Peuple en ligne et a révélé quelques données intéressantes : le nombre de pages vues pour les dépêches jugées importantes par la rédaction et placées en évidence de la page d'accueil n'est pas significativement différent du nombre de pages vues pour les dépêches plus « courantes » placés moins en évidence. 

Preprocessing the web server logs

2012 ◽  
Vol 37 (3) ◽  
pp. 1-5 ◽  
Author(s):  
K. Sudheer Reddy ◽  
G. Partha Saradhi Varma ◽  
I. Ramesh Babu
Keyword(s):  
Web Server ◽  
Server Logs ◽  
Web Server Logs ◽  
The Web

scholarly journals Discovering Web Server Logs Patterns Using Generalized Association Rules Algorithm

10.5772/9438 ◽  
2010 ◽  
Author(s):  
Mohd Helmy Abd Wahab ◽  
Mohd Norzali Haji Mohd ◽  
Mohamad Farhan Mohamad Mohsi
Keyword(s):  
Association Rules ◽  
Web Server ◽  
Generalized Association Rules ◽  
Server Logs ◽  
Web Server Logs

Building and Evaluating Adaptive Web Pages

2013 ◽  
Vol 12 (01) ◽  
pp. 1350006 ◽  
Author(s):  
M. Koutb ◽  
H. Kelash ◽  
M. Abu Al-Khair
Keyword(s):  
Web Server ◽  
Web Pages ◽  
Server Logs ◽  
Web Server Logs ◽  
The Web

Each year the number of consumers and the variety of their interests increase. As a result, providers are seeking ways to infer the customer's interests and to adapt their websites to make the content of interest more easily accessible. Assume that past navigation behaviour as an indicator of the user's interests. Then, the records of this behaviour, kept in the web-server logs, can be mined to extract the user's interests. On this principal, recommendations can be generated, to help old and new website's visitors to find the information about their interest faster.

APLIKASI PENCARI INFORMASI PERMINTAAN LAYANAN WEB YANG ERROR MENGGUNAKAN ALGORITMA BOYER-MOORE

2016 ◽  
Vol 1 (1) ◽  
pp. 001
Author(s):  
Harry Setya Hadi
Keyword(s):  
Data Storage ◽  
Computer Network ◽  
Web Server ◽  
Access Methods ◽  
Ip Address ◽  
String Searching ◽  
Common Process ◽  
Web Server Logs ◽  
Different Parts ◽  
The Web

String searching is a common process in the processes that made the computer because the text is the main form of data storage. Boyer-Moore is the search string from right to left is considered the most efficient methods in practice, and matching string from the specified direction specifically an algorithm that has the best results theoretically. A system that is connected to a computer network that literally pick a web server that is accessed by multiple users in different parts of both good and bad aim. Any activity performed by the user, will be stored in Web server logs. With a log report contained in the web server can help a web server administrator to search the web request error. Web server log is a record of the activities of a web site that contains the data associated with the IP address, time of access, the page is opened, activities, and access methods. The amount of data contained in the resulting log is a log shed useful information.

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