loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: J. Griffith 1 ; C. O'Riordan 1 and H. Sorensen 2

Affiliations: 1 National University of Ireland, Ireland ; 2 University College Cork, Ireland

Keyword(s): Collaborative filtering, Neighbourhood-based approach, Genetic algorithms.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaborative Filtering ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: The work outlined in this paper uses a genetic algorithm to learn the optimal set of parameters for a neighbourhood-based collaborative filtering approach. The motivation is firstly to re-assess whether the default parameter values often used are valid and secondly to assess whether different datasets require different parameter settings. Three datasets are considered in this initial investigation into the approach: Movielens, Bookcrossing and Lastfm.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.145.108.43

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Griffith, J.; O'Riordan, C. and Sorensen, H. (2011). LEARNING NEIGHBOURHOOD-BASED COLLABORATIVE FILTERING PARAMETERS. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 444-447. DOI: 10.5220/0003657404520455

@conference{kdir11,
author={J. Griffith. and C. O'Riordan. and H. Sorensen.},
title={LEARNING NEIGHBOURHOOD-BASED COLLABORATIVE FILTERING PARAMETERS},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR},
year={2011},
pages={444-447},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003657404520455},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - LEARNING NEIGHBOURHOOD-BASED COLLABORATIVE FILTERING PARAMETERS
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Griffith, J.
AU - O'Riordan, C.
AU - Sorensen, H.
PY - 2011
SP - 444
EP - 447
DO - 10.5220/0003657404520455
PB - SciTePress