Classic resource recommenders like Collaborative Filtering (CF) treat users as being just another entity, neglecting non-linear user-resource dynamics shaping attention and interpretation. In this paper, we propose a novel hybrid recommendation strategy that refines CF by capturing these dynamics. The evaluation results reveal that our approach substantially improves CF and, depending on the dataset, successfully competes with a computationally much more expensive Matrix Factorization variant.
@article{arxiv.1501.07716,
title = {Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics},
author = {Paul Seitlinger and Dominik Kowald and Simone Kopeinik and Ilire Hasani-Mavriqi and Tobias Ley and Elisabeth Lex},
journal= {arXiv preprint arXiv:1501.07716},
year = {2015}
}