RAPS: A Recommender Algorithm Based on Pattern Structures
Information Retrieval
2015-07-21 v1 Artificial Intelligence
Discrete Mathematics
Abstract
We propose a new algorithm for recommender systems with numeric ratings which is based on Pattern Structures (RAPS). As the input the algorithm takes rating matrix, e.g., such that it contains movies rated by users. For a target user, the algorithm returns a rated list of items (movies) based on its previous ratings and ratings of other users. We compare the results of the proposed algorithm in terms of precision and recall measures with Slope One, one of the state-of-the-art item-based algorithms, on Movie Lens dataset and RAPS demonstrates the best or comparable quality.
Cite
@article{arxiv.1507.05497,
title = {RAPS: A Recommender Algorithm Based on Pattern Structures},
author = {Dmitry I. Ignatov and Denis Kornilov},
journal= {arXiv preprint arXiv:1507.05497},
year = {2015}
}
Comments
The paper presented at FCA4AI 2015 in conjunction with IJCAI 2015