. the New User Experience and Recommendation Confidence

Abstract

Over the past four years, I have explored how users perceive recommendation lists generated by different recommender algorithms, a serendipitous discovery from my research in generating recommendations for peerreviewed research papers. In general, my research interests lie at the convergence of human-computer interaction, machine learning, information seeking/retrieval, and library and information sciences. Specifically, I am fascinated by personalization and recommender systems, the ability to generate and present personalized bits of information to users in a way they can digest, interpret, and use.

Extracted Key Phrases

6 Figures and Tables

Cite this paper

@inproceedings{McNee2006TN, title={. the New User Experience and Recommendation Confidence}, author={Sean M. McNee}, year={2006} }