Building and evaluating nonobvious user profiles for visitors of Web sites

Mushtaq, Naveed; Werner, Philipp; Tolle, Karsten; Zicari, Roberto V.

doi:10.1109/icect.2004.1319712

Cited by 16 publications

(15 citation statements)

References 7 publications

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“…D. Calculating the NOP In the example, we suppose the user Alice has already registered on ViewZone.org and logged in. We assume the initial NOP for Alice is empty (except for the obvious profile see [9]), because at registration time Alice didn't specify any specific interest in the topics of the Web site.…”

Section: Actionsmentioning

confidence: 99%

“…In this paper we will focus mainly on the new features introduced in Gugubarra 2. 0 and refer to [9] for the features implemented in Gugubarra 1. 0.…”

Section: Introductionmentioning

confidence: 99%

“…A first research prototype system, called Gugubarra 1.0 has been implemented in 2004 [9], which allows building and manipulating non-obvious user profiles. It was showcased at the CeBIT Trade Fairs in 2005 and 2006 [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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Section: Actionsmentioning

confidence: 99%

“…In this paper we will focus mainly on the new features introduced in Gugubarra 2. 0 and refer to [9] for the features implemented in Gugubarra 1. 0.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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show abstract

“…Third, it is more precise and eases the mapping to semantic zones. 1 http://www.dbis.cs.uni-frankfurt. de/ In what follows, we assume that users are aware and have granted permission that implicit data is collected and kept in their profile for them.…”

Section: Introductionmentioning

confidence: 99%

“…We use in this research the Gugubarra framework [1], [2], a prototype system developed by DBIS 1 at the GoetheUniversity Frankfurt. The goal of the system is to actively help the owner/manager of a web site in better understanding the supposed interests of users registered on her/his web site.…”

Section: Introductionmentioning

confidence: 99%

Behavioral Analysis of Registered Web Site Visitors with Help of Mouse Tracking

Schefels

Eschenberg

Schoneberger

2012

2012 IEEE 14th International Conference on Commerce and Enterprise Computing

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We present a method to extract implicit data of registered users of a web site with the help of mouse tracking. This allows us to generate more accurate interest profiles of visitors of a web site and to obtain a solid basis for the calculation of user interests or trend detection in the Web. On the one hand, web site owners have the opportunity to adjust their sites to the interests of their users. On the other hand, they can detect new trends and expand these topics on their web pages accordingly.

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How do framing strategies influence the user's choice of content on the Web?

Constantiou

Hoebel

Zicari

2011

Concurrency and Computation

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SUMMARY A Web user is exposed to a large number of information services available from different sources. Online news is offered combined with relevant service attributes such as pictures, small text, users' recommendations, etc. We previously investigated the Web user's choice of online news, focusing on the trade‐offs between reputation and other service attributes, which may explain the user's choice of an unknown source, such as a blog. In the present study, we investigate the Web user's choice of online news in a multi‐attribute context. Our findings indicate that the most important service attribute is the accompanying text, followed by the source's reputation, then the percentage of readers recommending or having read the link, and then the picture. We further explore the trade‐offs between the attributes through simulations. These findings provide useful insights to practitioners on how to use the service attributes in the framing strategies in order to increase the probability of the choice of online news. Copyright © 2011 John Wiley & Sons, Ltd.

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Building and evaluating nonobvious user profiles for visitors of Web sites

Cited by 16 publications

References 7 publications

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

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

Behavioral Analysis of Registered Web Site Visitors with Help of Mouse Tracking

How do framing strategies influence the user's choice of content on the Web?

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