Web Personalization based on Usage Mining

Saad, Sharhida Zawani

doi:10.14236/ewic/fdia2009.4

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Jiang and Tuzhilin presented a segmentation approach that is not based on computed statistics, but rather on directly combining transactional data, such as web browsing and purchasing activities of several users. Baraglia and Silvestri, Saad, and Jalali et al . discussed a Web Personalization (WP) application based on web usage mining that customizes the content of a web site with respect to the users' needs.…”

Section: Related Workmentioning

confidence: 99%

Improving Websites' Quality of Service by Shortening Their Browsing Expected Path Length

Postelnicu

Raviv

Ben‐Gal

2016

Quality & Reliability Eng

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This work proposes a method to improve the QoS provided to internet users by website servers. In particular, the goal is to minimize the expected number of browsing steps (clicks), also known as the expected path length, which are required to reach a website page by a community of users. We use Markov chain modeling to represent the transition probabilities from one webpage to another, and the first passage from page to page that can be retrieved from web server logs. The proposed method deletes links among webpages to minimize the expected path length of the website. Three different methods for achieving this goal are examined: (i) a greedy deletion heuristic; (ii) an approximated branch and bound algorithm; and (iii) a cross‐entropy metaheuristic. Numerical studies show that the proposed greedy heuristic results in the optimal solution in more than 60% of the tested cases, while in almost 90% of the cases, the obtained solution is within 10% of the optimal solution. Both the approximated branch and bound and the cross‐entropy methods achieved optimality in more than 80% of the tested cases; however, this came with a much higher computational cost. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 99%

Improving Websites' Quality of Service by Shortening Their Browsing Expected Path Length

Postelnicu

Raviv

Ben‐Gal

2016

Quality & Reliability Eng

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Applying Web Usage Mining for Adaptive Intranet Navigation

Saad

Kruschwitz

2011

Lecture Notes in Computer Science

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Abstract. Much progress has recently been made in assisting a user in the search process, be it Web search where the big search engines have now all incorporated more interactive features or be it online shopping where customers are commonly recommended items that appear to match the customer's interest. While assisted Web search relies very much on implicit information such as the users' search behaviour, recommender systems typically rely on explicit information, expressed for example by a customer purchasing an item. Surprisingly little progress has however been made in making navigation of a Web site more adaptive. Web sites can be difficult to navigate as they tend to be rather static and a new user has no idea what documents are most relevant to his or her need. We try to assist a new user by exploiting the navigation behaviour of previous users. On a university Web site for example, the target users change constantly. In a company the change might not be that dramatic, nevertheless new employees join the company and others retire. What we propose is to make the Web site more adaptive by introducing links and suggestions to commonly visited pages without changing the actual Web site. We simply add a layer on top of the existing site that makes recommendations regarding links found on the page or pages that are further away but have been typical landing pages whenever a user visited the current Web page. This paper reports on a task-based evaluation that demonstrates that the idea is very effective. Introducing suggestions as outlined above was found to be not just preferred by the users of our study but allowed them also to get to the results more quickly.

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Web Personalization based on Usage Mining

Cited by 2 publications

References 18 publications

Improving Websites' Quality of Service by Shortening Their Browsing Expected Path Length

Improving Websites' Quality of Service by Shortening Their Browsing Expected Path Length

Applying Web Usage Mining for Adaptive Intranet Navigation

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