News personalization using the CF-IDF semantic recommender

  title={News personalization using the CF-IDF semantic recommender},
  author={Frank Goossen and Wouter IJntema and Flavius Frasincar and Frederik Hogenboom and Uzay Kaymak},
When recommending news items, most of the traditional algorithms are based on TF-IDF, i.e., a term-based weighting method which is mostly used in information retrieval and text mining. However, many new technologies have been made available since the introduction of TF-IDF. This paper proposes a new method for recommending news items based on TF-IDF and a domain ontology. It is demonstrated that adapting TF-IDF with the semantics of a domain ontology, resulting in Concept Frequency - Inverse… CONTINUE READING
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