bachelor study, supervised by Peter Gašpar
User working on web leaves traces behind.Traces can be conscious(explicit feedback) or unconscious(implicit feedback). As explicit feedback we consider assessments items, for example: Like/unlike, percentage of satisfaction or commentary. As implicit feedback we consider clicks, time spent on web page or saving the item in favorites. In our work we will focus on implicit feedback and its analysis.
Several studies focused on the processing and subsequent use of implicit feedback and found that although implicit feedback data are robust, they are often distorted by various influences. These influences are, for example: position of item on page, highlighted words, summary of item.
In our work we select one of these influences and apply it to data from the e-shop. The output of the work will be a quantitative assessment of the impact of these distortions on the behavior of the user.