A Comparison Study for Novelty Control Mechanisms Applied to Web News Stories

A Verheij, A Kleijn, Flavius Frasincar, Frederik Hogenboom

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

14 Citations (Scopus)

Abstract

In this paper we evaluate several novelty control mechanisms for ranking Web news articles depicting a story. These mechanisms rank individual news items based on a novelty measure using as context the items which have been previously reviewed. An evaluation within the Hermes news personalization framework is performed for pairwise and non-pairwise novelty control mechanisms based on various distance measures and vector-based news representations. On average, the most effective distance measure is Kullback-Leibler and the best performing news representation vector uses named entities.
Original languageEnglish
Title of host publicationThe 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2012)
EditorsN. Zhong, Z. Gong, Y.-M. Cheung, P. Lingras, P.S. Szczepaniak, E. Suzuki
PublisherIEEE Computer Society
Pages431-436
Number of pages6
DOIs
Publication statusPublished - 4 Dec 2012

Research programs

  • EUR ESE 32

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