Article ID: | iaor20113991 |
Volume: | 22 |
Issue: | 1 |
Start Page Number: | 99 |
End Page Number: | 117 |
Publication Date: | Mar 2011 |
Journal: | Information Systems Research |
Authors: | Tuzhilin Alexander, Adomavicius Gediminas, Zheng Rong |
Keywords: | databases, modelling language |
Initially popularized by Amazon.com, recommendation technologies have become widespread over the past several years. However, the types of recommendations available to the users in these recommender systems are typically determined by the vendor and therefore are not flexible. In this paper, we address this problem by presenting the recommendation query language REQUEST that allows users to customize recommendations by formulating them in the ways satisfying personalized needs of the users. REQUEST is based on the multidimensional model of recommender systems that supports additional contextual dimensions besides traditional