Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems

@article{Domingues2011ExploitingAD,
  title={Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems},
  author={Marcos Aur{\'e}lio Domingues and Al{\'i}pio M{\'a}rio Jorge and Carlos Soares},
  journal={2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology},
  year={2011},
  volume={1},
  pages={92-95}
}
Traditionally, recommender systems for the web deal with applications that have two dimensions, users and items. Based on access data that relate these dimensions, a recommendation model can be built and used to identify a set of N items that will be of interest to a certain user. In this paper we propose a multidimensional approach, called DaVI (Dimensions… CONTINUE READING