skip to main content
10.1145/1454008.1454024acmconferencesArticle/Chapter ViewAbstractPublication PagesrecsysConference Proceedingsconference-collections
research-article

Evaluation of an ontology-content based filtering method for a personalized newspaper

Published: 23 October 2008 Publication History

Abstract

A new ontological-content-based method for ranking the relevancy of items in the electronic newspapers domain is proposed. The method is being implemented in ePaper, a personalized electronic newspaper research project. The content-based part of the filtering method of ePaper utilizes a hierarchical ontology of news items. The method considers common and "close" ontology concepts appearing in the user's profile and in the item's profile, measuring the hierarchical distance between concepts in the two profiles. Based on the number of common and related concepts, and their distances from each other, the filtering algorithm computes the similarity between items and users, and rank-orders the news items according to their relevancy to each user, thus providing a personalized newspaper.
We have conducted evaluations of the filtering method, examining various parameters. A group of subjects, each having defined an initial content-based profile using the news ontology concepts, read news items from a certain electronic newspaper and expressed the relevancy of each item to them. In different runs of the algorithm on the same data, we changed several parameters of the algorithm, and compared the results with the users' ratings. We discovered that the filtering method, which considers not only common concepts but also hierarchically related concepts, yields significantly better quality of filtering compared to using only common concepts. Moreover, we were able to find optimal values of similarity scores according to the hierarchical distance between related concepts.

References

[1]
Andrenucci, A. 2006. Collaborative computing. Department of Computer and Systems Sciences - a part of the IT University in Kista. Site: http://www.dsv.su.se/~andrea/ CollabComp.pdf. Retrieved on December 07, 2006.
[2]
De Luca, E. W., & Nüürnberger, A. 2004. Ontology-based semantic online classification of documents: Supporting users in searching the web. In Proc. of the European Symposium on Intelligent Technologies (EUNITE'04).
[3]
Ganesan, P., Garcia-Molina, H., and Widom, J. 2003. Exploiting hierarchical domain structure to compute similarity. ACM Trans. Inf. Syst. 21, 1, 64--93.
[4]
Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. 2004. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Systems, 22, 1, 5--53.
[5]
Khan, L. 2000. Ontology-based Information Selection, Ph.D. Thesis. University of South California.
[6]
Le Meur, L., & Steidl, M. 2004. NewsML™™ 1.2 - Guidelines V 1.00. Int'l Press Telecommunications Council Site. Retrieved on May 07, 2008.
[7]
Middleton, S. E., De Roure, D. C., & Shadbolt, N. R. 2001. Capturing knowledge of user preferences: ontologies in recommender systems. In Proc. First International Conference on Knowledge Capture, 100--107, Victoria, British Columbia, Canada.
[8]
Vallet, D., Cantador, I., Fernandez, M., and Castells, P. 2006. A Multi-Purpose Ontology-Based Approach for Personalized Content Filtering and Retrieval. In Proceedings of SMAP 2006. IEEE Computer Society, Washington, DC, 19--24.
[9]
Savia, E., Koskinen T., & Jokela, S. 1998. Metadata based matching of documents and user pofiles, In Proc. of Finnish Artificial Intelligence Conference, STeP'98.
[10]
Shoval, P. 2006. Ontology and content-based filtering for the ePaper project. Working Paper, BGU.
[11]
Shoval, P., Maidel, V. and Shapira, B. 2008. An ontology-content-based filtering method. Int'l Journal of Information Theories and Applications, Vol. 15.
[12]
Sieg, A., Mobasher, B., Lytinen S., & Burke, R. 2004. Using concept hierarchies to enhance user queries in web-based information retrieval. In Proc. of the IASTED04 Innsbruck, Austria, 226--234.
[13]
Tenenboim, L. Shapira, B., and Shoval, P. 2008. Ontology-based Classification of News in an Electronic Newspaper. In Proc. of INFOS 2008, July 2008, Varna, Bulgaria, 89--97.

Cited By

View all
  • (2025)A hybrid recommendation system using association rule mining, i-ALS algorithm, and SVD++ approach: A case study of a B2B companyIntelligent Systems with Applications10.1016/j.iswa.2025.200477(200477)Online publication date: Jan-2025
  • (2024)A survey on knowledge-aware news recommender systemsSemantic Web10.3233/SW-22299115:1(21-82)Online publication date: 12-Jan-2024
  • (2018)A language model-based framework for multi-publisher content-based recommender systemsInformation Retrieval Journal10.1007/s10791-018-9327-021:5(369-409)Online publication date: 6-Feb-2018
  • Show More Cited By

Index Terms

  1. Evaluation of an ontology-content based filtering method for a personalized newspaper

        Recommendations

        Comments

        Information & Contributors

        Information

        Published In

        cover image ACM Conferences
        RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems
        October 2008
        348 pages
        ISBN:9781605580937
        DOI:10.1145/1454008
        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

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 23 October 2008

        Permissions

        Request permissions for this article.

        Check for updates

        Author Tags

        1. content-based filtering
        2. electronic newspaper
        3. ontology
        4. personalization

        Qualifiers

        • Research-article

        Conference

        RecSys08: ACM Conference on Recommender Systems
        October 23 - 25, 2008
        Lausanne, Switzerland

        Acceptance Rates

        Overall Acceptance Rate 254 of 1,295 submissions, 20%

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • Downloads (Last 12 months)8
        • Downloads (Last 6 weeks)0
        Reflects downloads up to 22 Feb 2025

        Other Metrics

        Citations

        Cited By

        View all
        • (2025)A hybrid recommendation system using association rule mining, i-ALS algorithm, and SVD++ approach: A case study of a B2B companyIntelligent Systems with Applications10.1016/j.iswa.2025.200477(200477)Online publication date: Jan-2025
        • (2024)A survey on knowledge-aware news recommender systemsSemantic Web10.3233/SW-22299115:1(21-82)Online publication date: 12-Jan-2024
        • (2018)A language model-based framework for multi-publisher content-based recommender systemsInformation Retrieval Journal10.1007/s10791-018-9327-021:5(369-409)Online publication date: 6-Feb-2018
        • (2018)Recommender Systems Based on Linked Open DataEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_110165(2064-2080)Online publication date: 12-Jun-2018
        • (2017)Big Data Meets Digital Cultural HeritageJournal on Computing and Cultural Heritage 10.1145/301228610:1(1-23)Online publication date: 14-Apr-2017
        • (2017)Research Challenges in Multimedia Recommender Systems2017 IEEE 11th International Conference on Semantic Computing (ICSC)10.1109/ICSC.2017.31(344-347)Online publication date: 2017
        • (2017)Recommender Systems Based on Linked Open DataEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4614-7163-9_110165-1(1-17)Online publication date: 19-Jul-2017
        • (2016)Enterprise Content Management System for IT TrainingInternational Journal of Systems and Service-Oriented Engineering10.4018/IJSSOE.20160701036:3(32-54)Online publication date: 1-Jul-2016
        • (2016)Recommending multimedia visiting paths in cultural heritage applicationsMultimedia Tools and Applications10.1007/s11042-014-2062-775:7(3813-3842)Online publication date: 1-Apr-2016
        • (2016)A Semantic Approach in Recommender SystemsFuture Data and Security Engineering10.1007/978-3-319-48057-2_23(331-343)Online publication date: 23-Oct-2016
        • Show More Cited By

        View Options

        Login options

        View options

        PDF

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        Figures

        Tables

        Media

        Share

        Share

        Share this Publication link

        Share on social media