research-article

Enhancing a Location-based Recommendation System by Enrichment with Structured Data from the Web

Authors:

Max Schmachtenberg,

Thorsten Strufe,

Heiko PaulheimAuthors Info & Claims

WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

Article No.: 17, Pages 1 - 12

https://doi.org/10.1145/2611040.2611080

Published: 02 June 2014 Publication History

Abstract

Location-based social networks (LBS) enable users to checkin at points of interests (POIs), share this information with other users within the network, and receive recommendations about new and interesting POIs in their vicinity. In this paper, we show how such recommendations can be improved by adding background information from Linked Open Data and other sources of structured data. Using a dataset previously crawled from the LBS Gowalla, we analyze which types of background information are the most beneficial for improving the recommendations. In a series of offline experiments, we show that the quality of recommendations can be improved by 51% in precision and 150% in recall.

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Cited By

Figueroa CVagliano IRocha OTorchiano MZucker CCorrales JMorisio M(2019)Executing, Comparing, and Reusing Linked-Data-Based Recommendation Algorithms With the Allied FrameworkSemantic Web Science and Real-World Applications10.4018/978-1-5225-7186-5.ch002(18-47)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-7186-5.ch002
Figueroa CVagliano IRocha OTorchiano MZucker CCorrales JMorisio M(2017)AlliedInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201710010713:4(134-154)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.4018/IJSWIS.2017100107
Wagih HMokhtar HGhoniemy S(2017)Location Recommendation Based on Social Trust2017 13th International Conference on Semantics, Knowledge and Grids (SKG)10.1109/SKG.2017.00017(50-55)Online publication date: Aug-2017
https://doi.org/10.1109/SKG.2017.00017
Show More Cited By

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cover image ACM Other conferences

WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

June 2014

506 pages

ISBN:9781450325387

DOI:10.1145/2611040

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Aristotle University of Thessaloniki

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Association for Computing Machinery

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Published: 02 June 2014

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WIMS '14

WIMS '14: 4th International Conference on Web Intelligence, Mining and Semantics

June 2 - 4, 2014

Thessaloniki, Greece

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WIMS '14 Paper Acceptance Rate 41 of 90 submissions, 46%;

Overall Acceptance Rate 140 of 278 submissions, 50%

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Cited By

Figueroa CVagliano IRocha OTorchiano MZucker CCorrales JMorisio M(2019)Executing, Comparing, and Reusing Linked-Data-Based Recommendation Algorithms With the Allied FrameworkSemantic Web Science and Real-World Applications10.4018/978-1-5225-7186-5.ch002(18-47)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-7186-5.ch002
Figueroa CVagliano IRocha OTorchiano MZucker CCorrales JMorisio M(2017)AlliedInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201710010713:4(134-154)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.4018/IJSWIS.2017100107
Wagih HMokhtar HGhoniemy S(2017)Location Recommendation Based on Social Trust2017 13th International Conference on Semantics, Knowledge and Grids (SKG)10.1109/SKG.2017.00017(50-55)Online publication date: Aug-2017
https://doi.org/10.1109/SKG.2017.00017
Saikia PShe J(2017)Effective Mobile Notification Recommendation Using Social Nature of Locations2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)10.1109/DASC-PICom-DataCom-CyberSciTec.2017.203(1265-1270)Online publication date: Nov-2017
https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.203
Musto CLops Pde Gemmis MSemeraro G(2017)Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based featuresKnowledge-Based Systems10.1016/j.knosys.2017.08.015136:C(1-14)Online publication date: 15-Nov-2017
https://dl.acm.org/doi/10.1016/j.knosys.2017.08.015
Katarya RVerma O(2017)An effective web page recommender system with fuzzy c-mean clusteringMultimedia Tools and Applications10.1007/s11042-016-4078-776:20(21481-21496)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s11042-016-4078-7
Ristoski PSchuhmacher MPaulheim H(2015)Using Graph Metrics for Linked Open Data Enabled Recommender SystemsE-Commerce and Web Technologies10.1007/978-3-319-27729-5_3(30-41)Online publication date: 30-Dec-2015
https://doi.org/10.1007/978-3-319-27729-5_3
Ristoski PLoza Mencía EPaulheim H(2014)A Hybrid Multi-strategy Recommender System Using Linked Open DataSemantic Web Evaluation Challenge10.1007/978-3-319-12024-9_19(150-156)Online publication date: 4-Oct-2014
https://doi.org/10.1007/978-3-319-12024-9_19

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