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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14246
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| Title: | Search and Preference-Based Navigation in Electronic Shopping |
| Authors: | Isakowitz, Tomas
Kimbrough, Steven O. |
| Keywords: | decision analysis
decision support systems
electronic shopping
preference modeling
user interfaces
utility theory
multiattribute utility theory |
| Issue Date: | 1-Apr-1993 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-93-09 |
| Abstract: | The aim of this paper is to address the requirements for electronic
shopping systems. Large-scale computerized electronic shopping systems
need to accommodate both (a) a large number of products, many of which
are close substitutes, and (b) a heterogeneous body of customers who
have complex, multidimensional â and perhaps rapidly changing
â preferences regarding the products for sale in the system.
Further, these systems will have to be designed in a manner so as to
both (c) reduce the complexity of the shopping problem from the
customerâs point of view, and (d) effectively and insightfully
match products to customersâ needs. We show has an abstraction
hierarchy with an imposed distance metric provides the necessary
elements to implement the desired features. Further, we indicate how
the distance metric, in the context of the abstraction hierarchy, can be
interpreted as a unidimensional utility function. Finally, we extend
the single dimensional (single perspective) treatment to multiple
dimensions, or perspectives, and show how the resulting representation
can be interpreted as a multiattribute utility function. We argue that
the resulting function is plausible and, most importantly, testable. |
| URI: | http://hdl.handle.net/2451/14246 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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