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The TF-IDF-based CF-IDF method successfully utilizes the semantics of a domain ontology for news recommendation by detecting ontological concepts instead of ...
The goal of this paper is to extend the CF-IDF weighting technique by employing the semantic relationships of concepts from a domain ontology. The proposed ...
May 17, 2018 · The goal of this paper is to extend the CF-IDF weighting technique by employing the semantic relationships of concepts from a domain ontology.
The TF-IDF-based CF-IDF method successfully utilizes the semantics of a domain ontology for news recommendation by detecting ontological concepts instead of ...
This survey provides a comprehensive review of knowledge-aware news recommender systems. We propose a taxonomy that divides the models into three categories: ...
This paper proposes an extension to the state-of-the-art semantics-driven CF-IDF+ news recommender system, ... News recommendation with CF-. IDF+. In ...
The TF-IDF-based CF-IDF method successfully utilizes the semantics of a domain ontology for news recommendation by detecting ontological concepts instead of ...
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 ...
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 ...
Enhancing Semantics-Driven Recommender Systems with Visual Features · Bing-CSF-IDF+: A Semantics-Driven Recommender System for News · Bing-CF-IDF+: A Semantics- ...