ML Anthology

The Wasabi Personal Shopper: A Case-Based Recommender System

Robin D. Burke
AAAI 1999 pp. 844-849
/aaai/1999/burke1999aaai-wasabi/

Abstract

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 AI research system as a general-purpose commercial application.

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Cite

Text

Burke. "The Wasabi Personal Shopper: A Case-Based Recommender System." AAAI Conference on Artificial Intelligence, 1999.

Markdown

[Burke. "The Wasabi Personal Shopper: A Case-Based Recommender System." AAAI Conference on Artificial Intelligence, 1999.](https://mlanthology.org/aaai/1999/burke1999aaai-wasabi/)

BibTeX

@inproceedings{burke1999aaai-wasabi,
  title     = {{The Wasabi Personal Shopper: A Case-Based Recommender System}},
  author    = {Burke, Robin D.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1999},
  pages     = {844-849},
  url       = {https://mlanthology.org/aaai/1999/burke1999aaai-wasabi/}
}