An Empirical Study on Consumer Behavior in the Interaction with Knowledge-based Recommender Applications

@article{Felfernig2006AnES,
  title={An Empirical Study on Consumer Behavior in the Interaction with Knowledge-based Recommender Applications},
  author={Alexander Felfernig and Bartosz Gula},
  journal={The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06)},
  year={2006},
  pages={37-37}
}
Knowledge-based recommender technologies provide a couple of mechanisms for improving the accessibility of product assortments for customers, e.g., in situations where no solution can be found for a given set of customer requirements, the recommender application calculates a set of repair actions which can guarantee the identification of a solution. Further examples for such mechanisms are explanations or product comparisons. All these mechanisms have a certain effect on the behavior of… CONTINUE READING
Highly Cited
This paper has 46 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
27 Citations
6 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 27 extracted citations

Similar Papers

Loading similar papers…