@techreport{46d10a95e7e3412f87452460c971744a,
title = "Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics",
abstract = "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.",
keywords = "recommender systems, ressource recommendations, cognitive science, algorithm",
author = "Paul Seitlinger and Dominik Kowald and Simone Kopeinik and Ilire Hasani-Mavriqi and Tobias Ley and Elisabeth Lex",
note = "Submitted to WWW'15 WebScience Track",
year = "2015",
month = jan,
day = "30",
language = "English",
series = "arXiv.org e-Print archive",
publisher = "Cornell University Library",
type = "WorkingPaper",
institution = "Cornell University Library",
}