---
title: "The Power of Suggestion"
authors:
  - "Barry Smyth"
  - "Lorraine McGinty"
doi: ""
url: "https://ijcai.org/proceedings/2003/18"
pdf: "https://ijcai.org/proceedings/2003/0018.pdf"
venue: "Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence"
year: 2003
pages: "127-131"
track: ""
keywords:
---

# The Power of Suggestion

Barry Smyth, Lorraine McGinty

*Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence*, pages 127-131.

## Abstract

User feedback is vital in many recommender systems to help guide the search for good recommendations. Preference-based feedback (e.g. "Show me more like item A ") is an inherently ambiguous form of feedback with a limited ability to guide the recommendation process, and for this reason it is usually avoided. Nevertheless we believe that certain domains demand the use of preference-based feedback. As such, we describe and evaluate a flexible recommendation strategy that has the potential to improve the performance of case-based recommenders that rely on preference-based feedback.