Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Association Rules for Anomaly Detection and Root Cause Analysis in Process Executions Read chapter Read first chapter

2018 | OriginalPaper | Chapter

News Recommendation with CF-IDF+

Authors : Emma de Koning, Frederik Hogenboom, Flavius Frasincar

Published in: Advanced Information Systems Engineering

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Traditionally, content-based recommendation is performed using term occurrences, which are leveraged in the TF-IDF method. This method is the defacto standard in text mining and information retrieval. Valuable additional information from domain ontologies, however, is not employed by default. The TF-IDF-based CF-IDF method successfully utilizes the semantics of a domain ontology for news recommendation by detecting ontological concepts instead of terms. However, like other semantics-based methods, CF-IDF fails to consider the different concept relationship types. In this paper, we extend CF-IDF to additionally take into account concept relationship types. Evaluation is performed using Ceryx, an extension to the Hermes news personalization framework. Using a custom news data set, our CF-IDF+ news recommender outperforms the CF-IDF and TF-IDF recommenders in terms of \(F_1\) and Kappa.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Educating Users to Formulate Questions in Q&A Platforms: A Scaffold for Google Sheets
next chapter Model-Driven Elasticity for Cloud Resources
Literature
1.
2.
3.
Borsje, J., Levering, L., Frasincar, F.: Hermes: a semantic web-based news decision support system. In: 23rd Annual ACM Symposium on Applied Computing (SAC 2008), pp. 2415–2420. ACM (2008)
4.
Capelle, M., Hogenboom, F., Hogenboom, A., Frasincar, F.: Semantic news recommendation using WordNet and Bing similarities. In: Shin, S.Y., Maldonado, J.C. (eds.) 28th Symposium on Applied Computing (SAC 2013), The Semantic Web and its Application Track, pp. 296–302. ACM (2013)
5.
Capelle, M., Moerland, M., Frasincar, F., Hogenboom, F.: Semantics-based news recommendation. In: Akerkar, R., Bădică, C., Dan Burdescu, D. (eds.) 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS 2012). ACM (2012)
6.
Capelle, M., Moerland, M., Hogenboom, F., Frasincar, F., Vandic, D.: Bing-SF-IDF+: a hybrid semantics-driven news recommender. In: Wainwright, R.L., Corchado, J.M., Bechini, A., Hong, J. (eds.) 30th Symposium on Applied Computing (SAC 2015), Web Technologies Track, pp. 732–739. ACM (2015)
7.
8.
Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V.: GATE: a framework and graphical development environment for robust NLP tools and applications. In: 40th Anniversary Meeting of the Association for Computational Linguistics (ACL 2002), pp. 168–175. Association for Computational Linguistics (2002)
9.
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)MATH
10.
Goossen, F., IJntema, W., Frasincar, F., Hogenboom, F., Kaymak, U.: News personalization using the CF-IDF semantic recommender. In: Akerkar, R. (ed.) International Conference on Web Intelligence, Mining and Semantics (WIMS 2011). ACM (2011)
11.
IJntema, W., Goossen, F., Frasincar, F., Hogenboom, F.: Ontology-based news recommendation. In: Daniel, F., Delcambre, L.M.L., Fotouhi, F., Garrigós, I., Guerrini, G., Mazón, J.N., Mesiti, M., Müller-Feuerstein, S., Trujillo, J., Truta, T.M., Volz, B., Waller, E., Xiong, L., Zimányi, E. (eds.) International Workshop on Business intelligencE and the WEB (BEWEB 2010) at 13th International Conference on Extending Database Technology and 13th International Conference on Database Theory (EDBT/ICDT 2010). ACM (2010)
12.
Jensen, A.S., Boss, N.S.: Textual similarity: comparing texts in order to discover how closely they discuss the same topics. Bachelor’s thesis, Technical University of Denmark (2008)
13.
Moerland, M., Hogenboom, F., Capelle, M., Frasincar, F.: Semantics-based news recommendation with SF-IDF+. In: Camacho, D., Akerkar, R., Rodríguez-Moreno, M.D. (eds.) 3rd International Conference on Web Intelligence, Mining and Semantics (WIMS 2013). ACM (2013)
14.
Ostuni, V.C., Noia, T.D., Sciascio, E.D., Mirizzi, R.: Top-N recommendations from implicit feedback leveraging linked open data. In: 7th ACM Conference on Recommender Systems (RecSys 2013), pp. 85–92. ACM (2013)
15.
Sussna, M.: Word sense disambiguation for free-text indexing using a massive semantic network. In: Bhargava, B., Finin, T., Yesha, Y. (eds.) 2nd International Conference on Information and Knowledge Management (CIKM 1993), pp. 67–74. ACM (1993)
16.
Toutanova, K., Klein, D., Manning, C.D., Singer, Y.: Feature-rich part-of-speech tagging with a cyclic dependency network. In: Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLTNAACL 2003), pp. 252–259 (2003)
Metadata
Title
News Recommendation with CF-IDF+
Authors
Emma de Koning
Frederik Hogenboom
Flavius Frasincar
Copyright Year
2018
Book
Advanced Information Systems Engineering

Print ISBN: 978-3-319-91562-3

Electronic ISBN: 978-3-319-91563-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-91563-0_11

Premium Partner

    Image Credits