Web Performance Indicator by Implicit User Feedback – Application and Formal Approach

Abstract

AbstractWith growing importance of the internet, web sites have to be continously improved. Web metrics help to identify improvement potentials. Particularly success metrics for e-commerce sites based on transaction analysis are commonly available and well understood. In contrast to transaction based sites, the success of web sites geared toward information delivery is harder to quantify since there is no direct feedback of the user.We propose a generic success measure for information driven web sites. The idea of the measure is based on the observation of user behaviour in context of the web site semantics. In particular we observe users on their way through the web site and assign positive and negative scores to their actions. The value of the score depends on the transitions between page types and their contribution to the web site’s objectives.To derive a generic view on the metric construction, we introduce a formal meta environment deriving success measures upon the relations and dependencies of usage, content and structure of a web site.KeywordsUser SessionContent PageTopic ShiftTarget PagePage CategoryThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.