May 29, 2019 · TF-IDF [21], one of the most commonly used methods for recommending news items, is based on news item terms. The method combines the Term ...

This work proposes the Bing-CSF-IDF+ recommender – a content-based recommender that makes use of semantic relationships, and combines the best features of our ...

This paper proposes an extension to the state-of-the-art semantics-driven CF-IDF+ news recommender system, which uses identified news item concepts and their ...

Jun 3, 2019 · Our Bing-CF-IDF+ recommender outperforms the classic TF-IDF and the concept-based CF-IDF and CF-IDF+ recommenders in terms of the F 1 -score and ...

Bing-CF-IDF+: A Semantics-Driven News Recommender System ; 31st International Conference on Advanced Information Systems Engineering (CAiSE 2019) · Switzerland.

Sep 6, 2020 · This work proposes the Bing-CSF-IDF+ recommender – a content-based recommender that makes use of semantic relationships, and combines the ...

Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans.

Traditionally, content-based news recommendation is performed by means of the cosine similarity and the TF-IDF weighting scheme for terms occurring in news ...

ABSTRACT. Content-based news recommendation is traditionally per- formed using the cosine similarity and TF-IDF weighting scheme for terms occurring in news ...

This work extends SF-IDF by also considering the synset semantic relationships, and by employing named entity similarities using Bing page counts, ...