Introducing Zones to a Web Site: A Test Based Evaluation on Semantics, Content, and Business Goals

2012 IEEE 14th International Conference on Commerce and Enterprise Computing

Eschenberg

Schoneberger

2012

Self Cite

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.

Section: Gugubarra and User Profilesmentioning

confidence: 99%

“…The Relevance Profile is a container for all available interest profiles of a user. The mouse tracking enhances several concepts of Gugubarra, including zones, actions, and duration [5].…”

Section: Introductionmentioning

confidence: 99%

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

2012 IEEE 14th International Conference on Commerce and Enterprise Computing

Eschenberg

Schoneberger

2012

Self Cite

“…Most of this information is extracted out of the Web server log, but Gugubarra has refined the common click-stream analysis [17], [9], by extending it with new concepts, namely: zones, topics, actions, and weights [6], [5]. We describe these concepts briefly here.…”

Section: Gugubarra and User Profilesmentioning

confidence: 99%

A framework analysis for managing explicit feedback of visitors of a web site

Proceedings of the 12th International Conference on Information Integration and Web-Based Applications &Amp; Services

Zicari

2010

Self Cite

In this paper we present a framework analysis for managing the feedback explicitly given by visitors of a Web site. We introduce the concepts of scope, filtering, and relevance profiles for managing users' feedback, and show their applicability by using Gugubarra as a reference system, a prototype developed by DBIS at the Goethe University of Frankfurt, for creating and managing user profiles of Web visitors.

“…The behavioral data stored in the NOP indicates, for example, which pages a user has visited, and which actions he has performed on that web page. Most of this information is extracted out of the web server log, but Gugubarra has refined the common click-stream analysis (Weischedel and Huizingh, 2006;Jung et al, 2007), by extending it with new concepts, namely: zones, topics, actions and weights (Hoebel and Zicari, 2008;Hoebel et al, 2009). We describe these concepts briefly here.…”

Section: Gugubarra and User Profilesmentioning

confidence: 99%

A framework analysis for managing feedback of visitors of a web site

International Journal of Web Information Systems

Zicari²

2012

Self Cite

Purpose -An important issue in the management of a web-based user community, where users are registered to a web portal, is to identify patterns of users' interest. In this context, the users' feedback plays a major role. The purpose of this paper is to define a novel framework analysis for managing the feedback given by registered visitors of a web site. Design/methodology/approach -The paper presents a new technique to integrate the feedback explicitly given by users into already existing user profiles. The authors introduce the novel concepts of scope, filtering, and relevance profiles for managing users' feedback. The new concept of Relevance Profile (RP) is defined. Findings -Using the framework, the authors were able to discover patterns of usage of registered users of a web site. Practical implications -The practical applicability of the approach is validated by a use case study showing how the framework can be used with a real web site. The authors used Gugubarra as a reference system, a prototype for creating and managing web user profiles, developed by the DBIS group at the Goethe-University of Frankfurt. Originality/value -A new way to integrate the user feedback into interest profiles and a novel framework to analyze and discover patterns of interests are presented. The paper is an extended version (more than 50 per cent novel material) of a previous paper presented at the iiWAS2010 conference.