User-Oriented Product Search Based on Consumer Values and Lifestyles
Product search engines are essentially unchanged since the inception of online shopping, providing basic browsing by category and “advanced” keyword search. This paper presents a user-oriented product search method based on consumer values and lifestyles that correspond to user purchasing criteria rather than technical specifications. The technique is suited to relatively infrequent purchases where users possess little domain or market knowledge and existing interfaces are difficult to use. We show how to construct a knowledge base to support a user-oriented product search engine without the need for a domain expert to manually label the items. We present Lifestyle Car Finder, a user-oriented product search system in the domain of new cars. The system incorporates various modes of navigation (search refinement, a new form of critiquing adaptive to the user’s query, and breadcrumb trails) and decision support (similar car comparison, explanations and technical specifications). We report on a user study showing that, broadly speaking, users were highly satisfied with the system and felt they were confident in their decisions.
KeywordsRecommender System User Study Ranking Function Result Page Market Knowledge
Unable to display preview. Download preview PDF.
- 1.Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: Proceedings of the 20th Conference on Very Large Data Bases, pp. 478–499 (1994)Google Scholar
- 3.Bilgic, M., Mooney, R.J.: Explaining Recommendations: Satisfaction vs. Promotion. In: Proceedings of the IUI 2005 Workshop: Beyond Personalization (2005)Google Scholar
- 6.Felix, D., Niederberger, C., Steiger, P., Stolze, M.: Feature-Oriented vs. Needs-Oriented Product Access for Non-Expert Online Shoppers. In: Proceedings of the IFIP Conference on Towards the E-Society: E-Commerce, E-Business, E-Government, pp. 399–406 (2001)Google Scholar
- 7.Hammond, K.J., Burke, R., Schmitt, K.: A Case-Based Approach to Knowledge Navigation. In: Proceedings of the AAAI 1994 Workshop on Knowledge Discovery in Databases, pp. 383–393 (1994)Google Scholar
- 8.Holman, R.H.: A Values and Lifestyles Perspective on Human Behavior. In: Pitts Jr., R.E., Woodside, A.G. (eds.) Personal Values and Consumer Psychology. Lexington Books, Lexington (1984)Google Scholar
- 9.Keeney, R.L., Raiffa, H.: Decisions with Multiple Objectives: Preferences and Value Tradeoffs. John Wiley & Sons, New York (1976)Google Scholar
- 11.McCarthy, K., McGinty, L., Smyth, B., Reilly, J.: On the Evaluation of Dynamic Critiquing: A Large-Scale User Study. In: Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI 2005), pp. 535–540 (2005)Google Scholar
- 14.Stolze, M., Ströbel, M.: Recommending as Personalized Teaching: Towards Credible Needs-Based eCommerce Recommender Systems. In: Karat, C.M., Blom, J., Karat, J. (eds.) Designing Personalized User Experiences in eCommerce. Kluwer Academic Publishers, Dordrecht (2004)Google Scholar