On Clustering Visitors of a Web Site by Behavior and Interests

Hoebel, Natascha; Zicari, Roberto V.

doi:10.1007/978-3-540-72575-6_26

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…This study is a part of the Gugubarra project 25, 26, which investigates Internet users' preferences, explores their behavior and builds some profiling mechanisms (i.e. the non‐obvious‐profile that represents the user's interest with respect to a list of predefined topics on a website 27).…”

Section: Related Workmentioning

confidence: 99%

Effects of processing parameters on axial stiffness of self‐reinforced polyethylene composites

Amer

Ganapathiraju

2001

J of Applied Polymer Sci

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Self-reinforced polyethylene composites have proven to be promising candidate materials for a number of wear-resistance and bioimplant applications. In this study, we investigated the effects of processing parameters on the elastic modulus of self-reinforced high-density polyethylene (HDPE) composites. The processing parameters investigated were the cooling rate, processing pressure, temperature, and duration. Our results showed an optimum processing temperature, pressure, and duration that were matrix-dependent. In addition, for an HDPE matrix, the slower the composite cooling rate was, the higher the composite modulus was.

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Section: Related Workmentioning

confidence: 99%

Effects of processing parameters on axial stiffness of self‐reinforced polyethylene composites

Amer

Ganapathiraju

2001

J of Applied Polymer Sci

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“…Knowledge of the different user types, or communities, can facilitate the improvement of the website by identifying and satisfying differentiated user needs and preferences [34, 35]. For our clustering, we include two types of user information, displayed in Table 1.…”

Section: Methodsmentioning

confidence: 99%

Health care public reporting utilization – user clusters, web trails, and usage barriers on Germany’s public reporting portal Weisse-Liste.de

Proß¹,

Averdunk²,

Stjepanovic³

et al. 2017

BMC Med Inform Decis Mak

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BackgroundQuality of care public reporting provides structural, process and outcome information to facilitate hospital choice and strengthen quality competition. Yet, evidence indicates that patients rarely use this information in their decision-making, due to limited awareness of the data and complex and conflicting information. While there is enthusiasm among policy makers for public reporting, clinicians and researchers doubt its overall impact. Almost no study has analyzed how users behave on public reporting portals, which information they seek out and when they abort their search.MethodsThis study employs web-usage mining techniques on server log data of 17 million user actions from Germany’s premier provider transparency portal Weisse-Liste.de (WL.de) between 2012 and 2015. Postal code and ICD search requests facilitate identification of geographical and treatment area usage patterns. User clustering helps to identify user types based on parameters like session length, referrer and page topic visited. First-level markov chains illustrate common click paths and premature exits.ResultsIn 2015, the WL.de Hospital Search portal had 2,750 daily users, with 25% mobile traffic, a bounce rate of 38% and 48% of users examining hospital quality information. From 2013 to 2015, user traffic grew at 38% annually. On average users spent 7 min on the portal, with 7.4 clicks and 54 s between clicks. Users request information for many oncologic and orthopedic conditions, for which no process or outcome quality indicators are available. Ten distinct user types, with particular usage patterns and interests, are identified. In particular, the different types of professional and non-professional users need to be addressed differently to avoid high premature exit rates at several key steps in the information search and view process. Of all users, 37% enter hospital information correctly upon entry, while 47% require support in their hospital search.ConclusionsSeveral onsite and offsite improvement options are identified. Public reporting needs to be directed at the interests of its users, with more outcome quality information for oncology and orthopedics. Customized reporting can cater to the different needs and skill levels of professional and non-professional users. Search engine optimization and hospital quality advocacy can increase website traffic.Electronic supplementary materialThe online version of this article (doi:10.1186/s12911-017-0440-6) contains supplementary material, which is available to authorized users.

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“…in [2] the famous k-means. Gugubarra uses the Takahe Cluster Algorithm [8] (Takahe is a bird from New Zealand), which is a combination of hierarchical clustering with a centroid based method including a priority. It allows clustering Web users by similar interest in several topics.…”

Section: E User Feedbackmentioning

confidence: 99%

“…We cluster Web visitors by clustering similar profiles of interest [8]. Cluster of Web visitors can then be used to analyze patterns of interests in the Web community and to forecast further behavior.…”

Section: Introductionmentioning

confidence: 99%

“…Gugubarra 1.0 works as a test application on real data provided by the Web community ViewZone.org. A new prototype system, Gugubarra 2.0, is currently being designed [7] which includes a more sophisticated approach to the definition of non-obvious user profiles and allows clustering users by interests [8]. In this paper we will focus mainly on the new features introduced in Gugubarra 2.…”

Section: Introductionmentioning

confidence: 99%

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The Gugubarra Project: Building and Evaluating User Profiles for Visitors of Web Sites

Hoebel¹,

Kaufmann

Tolle

et al. 2006

2006 1st IEEE Workshop on Hot Topics in Web Systems and Technologies

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On Clustering Visitors of a Web Site by Behavior and Interests

Cited by 6 publications

References 3 publications

Effects of processing parameters on axial stiffness of self‐reinforced polyethylene composites

Effects of processing parameters on axial stiffness of self‐reinforced polyethylene composites

Health care public reporting utilization – user clusters, web trails, and usage barriers on Germany’s public reporting portal Weisse-Liste.de

The Gugubarra Project: Building and Evaluating User Profiles for Visitors of Web Sites

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