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Published in:
2005 | OriginalPaper | Chapter
Analysis of Recommender System Usage by Multidimensional Scaling
Authors : Patrick Thoma, Wolfgang Gaul
Published in: Classification — the Ubiquitous Challenge
Publisher: Springer Berlin Heidelberg
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Recommender systems offer valuable information not only for web site visitors (who are supported during site navigation and/or buying process) but also for online shop owners (who can learn from the behavior of their web site visitors). We use data from large German online stores gathered between March and November 2003 to visualize search queries by customers together with products viewed most frequently or purchased most frequently. Comparisons of these visualizations lead to a better understanding of searching, viewing, and buying behavior of online shoppers and give important hints how to further improve the generation of recommendations.