loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hassan Issa 1 ; Amir Guirguis 2 ; Shary Beshara 2 ; Stefan Agne 3 and Andreas Dengel 1

Affiliations: 1 German Research Center for Artificial Intelligence (DFKI) and Kaiserslautern University of Technology, Germany ; 2 German University in Cairo, Egypt ; 3 German Research Center for Artificial Intelligence (DFKI), Germany

Keyword(s): Quantified-self, Recommendation Systems, Web Information Filtering, Classification, Fitness.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Collective Intelligence ; Enterprise Information Systems ; Recommendation Systems ; Software Agents and Internet Computing

Abstract: With the current trend of fitness and health tracking and quantified self, hundreds of relevant apps and devices are being released to the consumer market. Remarkably, some platforms were created to collect running-route data from these different sources in order to provide a better value for users. Such data could be employed in finding running routes based on the user’s preferences rather than being limited to the proximity to the user’s location. In this work, a classification system for running routes is introduced considering performance factors, visual factors and the nature of route. A running-route content-based recommender system is built on top of this classification enabling learning user preferences from their performance history. The system was evaluated using data from active runners and attained a promising recommendation accuracy averaging 84% among all subject users.

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 18.224.63.87

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:
Issa, H.; Guirguis, A.; Beshara, S.; Agne, S. and Dengel, A. (2016). Preference based Filtering and Recommendations for Running Routes. In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST; ISBN 978-989-758-186-1; ISSN 2184-3252, SciTePress, pages 139-146. DOI: 10.5220/0005897801390146

@conference{webist16,
author={Hassan Issa. and Amir Guirguis. and Shary Beshara. and Stefan Agne. and Andreas Dengel.},
title={Preference based Filtering and Recommendations for Running Routes},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST},
year={2016},
pages={139-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005897801390146},
isbn={978-989-758-186-1},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST
TI - Preference based Filtering and Recommendations for Running Routes
SN - 978-989-758-186-1
IS - 2184-3252
AU - Issa, H.
AU - Guirguis, A.
AU - Beshara, S.
AU - Agne, S.
AU - Dengel, A.
PY - 2016
SP - 139
EP - 146
DO - 10.5220/0005897801390146
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic