The Wasabi Personal Shopper: A case-based recommender system

被引：0
|
作者：
Burke, R [1 ]
机构：
[1] Recommender Com Inc, Irvine, CA 92697 USA
来源：
SIXTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-99)/ELEVENTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE (IAAI-99) | 1999年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Wasabi Personal Shopper (WPS) is a domain-independent database browsing tool designed for on-line information access, particularly for electronic product catalogs. Typically, web-based catalogs rely either on text search or query formulation. WPS introduces an alternative form of access via preference-based navigation. WPS is based on a line of academic research called FindMe systems. These systems were built in a variety of different languages and used custom-built ad-hoc databases. WPS is written in C++, and designed to be a commercial-grade software product, compatible with any SQL-accessible catalog. The paper describes the WPS and discusses some of the development issues involved in re-engineering our Al research system as a general-purpose commercial application.
引用
收藏
页码：844 / 849
页数：6
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