iCARE: intelligent customer assistance for recommending eyewear

Authors:
Edwin Costello;John Doody;Lorraine McGinty;Barry Smyth
Affiliations:
University College Dublin, Belfield, Dublin;University College Dublin, Belfield, Dublin;University College Dublin, Belfield, Dublin;University College Dublin, Belfield, Dublin
Venue:
Proceedings of the 11th international conference on Intelligent user interfaces
Year:
2006

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Abstract

Consumers are often overwhelmed by the range of product choices available, especially online, and recommender systems have emerged as an important tool for helping users to navigate through complex product spaces based on their preferences. In this paper we describe work that concentrates on how research ideas from two complimentary research communities (recommender systems and intelligent user interfaces) can be married to improve online recommender systems. In particular, we are interested in content-based recommendation domains that rely heavily on explicit feature-level feedback from users. Oftentimes this type of feedback is difficult for users to provide and we look at how this might be addressed through product visualization techniques in this paper, focusing on the iCARE System for recommending suitable eyeglasses to individual users.