---
title: "Increasing Dialogue Efficiency in Case-Based Reasoning Without Loss of Solution Quality"
authors:
  - "David McSherry"
doi: ""
url: "https://ijcai.org/proceedings/2003/17"
pdf: "https://ijcai.org/proceedings/2003/0017.pdf"
venue: "Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence"
year: 2003
pages: "121-125"
track: ""
keywords:
---

# Increasing Dialogue Efficiency in Case-Based Reasoning Without Loss of Solution Quality

David McSherry

*Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence*, pages 121-125.

## Abstract

Increasing dialogue efficiency in case-based reasoning (CBR) must be balanced against the risk of commitment to a sub-optimal solution. Focusing on incremental query elicitation in recommender systems, we examine the limitations of naive strategies such as terminating the dialogue when the similarity of any case reaches a predefined threshold. We also identify necessary and sufficient conditions for recommendation dialogues to be terminated without loss of solution quality. Finally, we evaluate a number of attribute-selection strategies in terms of dialogue efficiency given the requirement that there must be no loss of solution quality.