poster

Ontology-based web service to recommend spare time activities

Authors:

Luis Martínez Marina,

Juan Antonio Calles García,

Estefanía Martín BarrosoAuthors Info & Claims

HetRec '10: Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems

Pages 67 - 70

https://doi.org/10.1145/1869446.1869457

Published: 26 September 2010 Publication History

Abstract

The number of people that use Internet as a source of information increases continuously. Internet provides a great amount of heterogeneous information. When interacting with the Web, not all the users have the same goals, interests or needs. This paper presents a recommender system for spare time activities (such as visiting museums, restaurants, conferences, etc.). It suggests the most suitable options taking into account the personal features of each user, that is, his/her preferences, economic resources, available time and disabilities. Furthermore, it provides the means of public transport to arrive at the place where the activity will be performed. The results of a case study focused on Mostoles city are presented too.

References

[1]

}}Adomavicius, G., and A. Tuzhilin. 2005. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE TKDE 17(6), 734--749.

Digital Library

[2]

}}Brusilovsky, P. 1996. Methods and techniques of adaptive hypermedia. UMUAI, 6 (2--3), 87--129.

Digital Library

[3]

}}Burke, R. 2002. Hybrid Recommender Systems: Survey and Experiments. UMUAI, 12(4), 331--370. Kluwer Academic Publisher.

Digital Library

[4]

}}Burke, R. 1999. Integrating Knowledge-Based and Collaborative-Filtering Recommender Systems. Artificial Intelligence for Electronic Commerce. AAAI Workshop (AAAI Technical Report WS-99-0 1), 69--72.

[5]

}}Calles García, J. A., Guzmán Sacristán, A., and Alonso Cebrián, J. M. 2009. Prefetching Web Browsing. URJC.

[6]

}}Cardona, C., Restrepo, D., and Ovalle, D. 2007. Fuzzy Expert System to Determine Criminologist Profiles Based on Lüscher's Test and Socio-Criminologist Variables.

[7]

}}Clips. http://clipsrules.sourceforge.net.

[8]

}}Condliff, M. K., Lewis, D. D., Madigan, D., and Posse, C.: 1999. Bayesian Mixed-Effects Models for Recommender Systems. SIGIR '99 Workshop on Recommender Systems: Algorithms and Evaluation. Berkeley, CA.

[9]

}}Fodor, J., and Roubens, M. 1994. Fuzzy Preference Modelling and Multicriteria Decision Support. Kluwer Academic Publisher, Dordrecht.

[10]

}}Google Maps: http://code.google.com/intl/es-ES/apis/maps/.

[11]

}}iTextSharp http://sourceforge.net/projects/itextsharp/.

[12]

}}Hijikata, Y., Iwahama, K., and Nishida, S. 2006. Content-based music filtering system with editable user profile. Proc. 2006 ACM Symp. on Appl. computing, 1050--1057.

Digital Library

[13]

}}Jennings, A., and Higuchi, H. 1993. A User Model Neural Network for a Personal News Service. UMUAI, 3, 1--25.

[14]

}}Martín, E., and Carro, R. M. 2009. Supporting the Development of Mobile Adaptive Learning Environments: A case study. IEEE TLT, 2 (1), 23--36.

Digital Library

[15]

}}Microsoft ASP.NET. Ajax. http://www.asp.net/ajax.

[16]

}}Protégé. http://protege.stanford.edu.

[17]

}}Sieg, A., Mobasher, B., and Burke, R. 2007. Ontological User Profiles for Representing Context in Web Search. Proc. Workshop on Web Personalization and Recommender Systems. ACM Int. Conf. on Web Intelligence.

Digital Library

Cited By

Qin LLuo YMing ZZhang HLu HChen WChen BLiu XWang HLyu R(2024)Decision Tree-Based Resource Recommendation System for Aerospace Manufacturing2024 7th International Conference on Computer Information Science and Application Technology (CISAT)10.1109/CISAT62382.2024.10695264(809-813)Online publication date: 12-Jul-2024
https://doi.org/10.1109/CISAT62382.2024.10695264
Qin LFu DMing ZZhang HLu HLi QChen BWen QXu MLyu R(2024)An Aircraft Structural Component Process Route Recommendation Engine Based on ANN-LCS Algorithm2024 7th International Conference on Computer Information Science and Application Technology (CISAT)10.1109/CISAT62382.2024.10695249(796-802)Online publication date: 12-Jul-2024
https://doi.org/10.1109/CISAT62382.2024.10695249
Ramirez-Garcia XGarcía-Valdez M(2014)Post-Filtering for a Restaurant Context-Aware Recommender SystemRecent Advances on Hybrid Approaches for Designing Intelligent Systems10.1007/978-3-319-05170-3_49(695-707)Online publication date: 27-Mar-2014
https://doi.org/10.1007/978-3-319-05170-3_49

Index Terms

Ontology-based web service to recommend spare time activities
1. Applied computing
2. Information systems
  1. World Wide Web
    1. Web applications
    2. Web services

Recommendations

The Adaptive Ontology-Based Personalized Recommender System

Recommender systems provide strategies that help users search or make decisions within the overwhelming information spaces nowadays. They have played an important role in various areas such as e-commerce and e-learning. In this paper, we propose a ...
Recommend at opportune moments
AIRS'11: Proceedings of the 7th Asia conference on Information Retrieval Technology

We propose an approach to adapt the existing item-based (movie-based) collaborative filtering algorithm based on the timestamp of ratings to recommend movies to users at opportune moments. Over the last few years, researchers focused recommendation ...
Stochastic matching and collaborative filtering to recommend people to people
RecSys '11: Proceedings of the fifth ACM conference on Recommender systems

The bias towards popular items is not necessarily an undesired outcome of recommender algorithms since a large amount of revenue on e-commerce websites is drawn from these popular items. On the other hand, in domains such as online dating and employment ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

HetRec '10: Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems

September 2010

84 pages

ISBN:9781450304078

DOI:10.1145/1869446

Conference Chairs:
Peter Brusilovsky
University of Pittsburgh
,
Iván Cantador
Universidad Autónoma de Madrid, Spain
,
Yehuda Koren
Yahoo! Labs
,
Tsvi Kuflik
University of Haifa, Israel
,
Markus Weimer
Yahoo! Labs

Copyright © 2010 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]

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Funding Sources

Ministerio de Educación, Cultura y Deporte

Conference

RecSys '10

Sponsor:

SIGCHI

RecSys '10: Fourth ACM Conference on Recommender Systems

September 26, 2010

Barcelona, Spain

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
200
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 13 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Qin LLuo YMing ZZhang HLu HChen WChen BLiu XWang HLyu R(2024)Decision Tree-Based Resource Recommendation System for Aerospace Manufacturing2024 7th International Conference on Computer Information Science and Application Technology (CISAT)10.1109/CISAT62382.2024.10695264(809-813)Online publication date: 12-Jul-2024
https://doi.org/10.1109/CISAT62382.2024.10695264
Qin LFu DMing ZZhang HLu HLi QChen BWen QXu MLyu R(2024)An Aircraft Structural Component Process Route Recommendation Engine Based on ANN-LCS Algorithm2024 7th International Conference on Computer Information Science and Application Technology (CISAT)10.1109/CISAT62382.2024.10695249(796-802)Online publication date: 12-Jul-2024
https://doi.org/10.1109/CISAT62382.2024.10695249
Ramirez-Garcia XGarcía-Valdez M(2014)Post-Filtering for a Restaurant Context-Aware Recommender SystemRecent Advances on Hybrid Approaches for Designing Intelligent Systems10.1007/978-3-319-05170-3_49(695-707)Online publication date: 27-Mar-2014
https://doi.org/10.1007/978-3-319-05170-3_49

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents