Abstract
Traditionally, content-based news recommendation is performed by means of the cosine similarity and the TF-IDF weighting scheme for terms occurring in news messages and user profiles. Semantics-driven variants like SF-IDF additionally take into account term meaning by exploiting synsets from semantic lexicons. However, semantics-based weighting techniques are not able to handle – often crucial – named entities, which are often not present in semantic lexicons. Hence, we extend SF-IDF by also employing named entity similarities using Bing page counts. Our proposed method, Bing-SF-IDF, outperforms TF-IDF and its semantics-driven variants in terms of F 1-scores and kappa statistics.
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References
Alias-i: LingPipe 4.1.0 (2008), From: http://alias-i.com/lingpipe
Bing: Bing API 2.0 (2012), http://www.bing.com/developers/s/APIBasics.html
Bollegala, D., Matsuo, Y., Ishizuka, M.: Measuring Semantic Similarity between Words Using Web Search Engines. In: 16th Int. Conf. on World Wide Web (WWW 2007), pp. 757–766. ACM (2007)
Bouma, G.: Normalized (Pointwise) Mutual Information in Collocation Extraction. In: Chiarcos, C., de Castilho, R.E., Stede, M. (eds.) Biennial GSCL Conf. 2009 (GSCL 2009), pp. 31–40. Gunter Narr Verlag, Tübingen (2009)
Capelle, M., Moerland, M., Frasincar, F., Hogenboom, F.: Semantics-Based News Recommendation. In: 2nd Int. Conf. on Web Intelligence, Mining and Semantics (WIMS 2012). ACM (2012)
Cohen, J.: A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement 20(1), 37–46 (1960)
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)
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press (1998)
Frasincar, F., Borsje, J., Levering, L.: A Semantic Web-Based Approach for Building Personalized News Services. Int. J. E-Business Research 5(3), 35–53 (2009)
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)
Jiang, J.J., Conrath, D.W.: Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy. In: 10th Int. Conf. on Research in Computational Linguistics (ROCLING 1997), pp. 19–33 (1997)
Leacock, C., Chodorow, M.: Combining Local Context and WordNet Similarity for Word Sense Identification. In: WordNet: An Electronic Lexical Database, pp. 265–283. MIT Press (1998)
Lin, D.: An Information-Theoretic Definition of Similarity. In: 15th Int. Conf. on Machine Learning (ICML 1998), pp. 296–304. Morgan Kaufmann (1998)
Moens, M.-F.: Information Extraction: Algorithms and Prospects in a Retrieval Context. Springer (2006)
Resnik, P.: Using Information Content to Evaluate Semantic Similarity in a Taxonomy. In: 14th Int. Joint Conf. on Artificial Intelligence (IJCAI 1995), pp. 448–453. Morgan Kaufmann (1995)
Salton, G., Buckley, C.: Term-Weighting Approaches in Automatic Text Retrieval. Information Processing and Management 24(5), 513–523 (1988)
Toutanova, K., Klein, D., Manning, C.D., Singer, Y.: Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. In: Human Language Technology Conf. of the North American Chapter of the Association for Computational Linguistics (HLTNAACL 2003), pp. 252–259 (2003)
Wu, Z., Palmer, M.S.: Verb Semantics and Lexical Selection. In: 32nd Annual Meeting of the Association for Computational Linguistics (ACL 1994), pp. 133–138. Association for Computational Linguistics (1994)
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Hogenboom, F., Capelle, M., Moerland, M. (2014). News Recommendation Using Semantics with the Bing-SF-IDF Approach. In: Parsons, J., Chiu, D. (eds) Advances in Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8697. Springer, Cham. https://doi.org/10.1007/978-3-319-14139-8_18
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DOI: https://doi.org/10.1007/978-3-319-14139-8_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14138-1
Online ISBN: 978-3-319-14139-8
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