A recipe based on-line food store

In this paper we present a recommender system design for recipe based on-line food shopping. Our system differs in two major ways from existing system. First we use an editor that labels clusters of users, such as meat lovers and vegetarians; based on what recipes they have chosen. Secondly, these clusters are available to users, so they can not only choose recipes based on their own user group but also navigate among other user groups. Keywords On-line shopping, recommender systems, social navigation, collaborative filtering

• Type: Conference
• Year: 2000
• Where: IUI
• Authors: Martin Svensson, Jarmo Laaksolahti, Kristina Höök, Annika Waern
• Keywords: IUI 2000, On-line Food Shopping, Recommender System Design, Recommender Systems, Software Engineering