Mining user access logs to optimize navigational structure of adaptive web sites

Eremić, Željko; Radosav, Dragica; Markoski, Branko

doi:10.1109/cinti.2010.5672233

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…The article [1] considers using waypost documents as a relevant factor in process of improving classic shortcutting. Two illustrations of identifying waypost documents are given in [8].…”

Section: Previous Studiesmentioning

confidence: 99%

WaypostEye – a Software Tool for Navigation Improvement Support of Adaptive Websites

2014

APH

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One frequently used method for navigation improvement of web sites is to establish a link between resources such as web pages or files, when it is fully justified. Adaptive web sites may change their display and structure based on a previously recorded user's behavior. The software tool that is described in this paper provides the designer with a graphical presentation of established link proposals between resources. In this way, it supports the designer's decisions referring to establishing new links between resources. Therefore, it makes a contribution to the improvement of the navigational structure of such web sites. This software establishes decision support information and Web designers are able to make business decisions in a relatively easy and visual way.

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“…The article [1] considers using waypost documents as a relevant factor in process of improving classic shortcutting. Two illustrations of identifying waypost documents are given in [8].…”

Section: Previous Studiesmentioning

confidence: 99%

WaypostEye – a Software Tool for Navigation Improvement Support of Adaptive Websites

2014

APH

View full text Add to dashboard Cite

show abstract

“…In Ref. [1], the authors discussed the possibilities of identifying the documents in users' navigation paths and optimized the web structure. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Frequent sequence mining from massive access log for user’s behaviour investigation

Chen¹,

Yan²,

Zhang³

et al. 2017

Proceedings of the 7th International Conference on Computer Engineering and Networks — PoS(CENet2017)

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With the fast development of Web 2.0, users can obtain everything that they want from the Web. and their access behaviours are recorded by the access log. Based on mining the frequent access sequence, we can deeply understand their access interests. In turn, it can improve the efficiency of network management. In this paper, we firstly present the methods for log pre-processing and extract the features. Secondly, we employ the PrefixSpan algorithm to achieve the goal of frequent sequences mining. In order to process the massive log data in network today, we also combined the proposed methods with Spark. Finally, experimental results based on the log data collected from the campus network of Xi'an Jiaotong University verify the efficiency of the developed methods, which are useful for the understanding and management of the user's behaviour.

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Effective algorithm for frequent pattern mining

Aditya¹,

Hemanth²,

Lakshmikanth³

et al. 2017

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS)

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Mining user access logs to optimize navigational structure of adaptive web sites

Cited by 6 publications

References 3 publications

WaypostEye – a Software Tool for Navigation Improvement Support of Adaptive Websites

WaypostEye – a Software Tool for Navigation Improvement Support of Adaptive Websites

Frequent sequence mining from massive access log for user’s behaviour investigation

Effective algorithm for frequent pattern mining

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