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Yolanda Blanco-Fernández
Researcher at University of Vigo
Publications - 129
Citations - 1367
Yolanda Blanco-Fernández is an academic researcher from University of Vigo. The author has contributed to research in topics: Recommender system & Personalization. The author has an hindex of 18, co-authored 128 publications receiving 1303 citations.
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Journal ArticleDOI
AVATAR: an improved solution for personalized TV based on semantic inference
Yolanda Blanco-Fernández,José J. Pazos-Arias,Martín López-Nores,Alberto Gil-Solla,Manuel Ramos-Cabrer +4 more
TL;DR: A new approach for automatic content recommendation is presented, based on the so-called semantic Web technologies, that significantly reduces deficiencies of current approaches of content recommenders.
Journal ArticleDOI
A flexible semantic inference methodology to reason about user preferences in knowledge-based recommender systems
Yolanda Blanco-Fernández,José J. Pazos-Arias,Alberto Gil-Solla,Manuel Ramos-Cabrer,Martín López-Nores,Jorge García-Duque,Ana Fernández-Vilas,Rebeca P. Díaz-Redondo,Jesús Bermejo-Muñoz +8 more
TL;DR: This paper proposes a personalization strategy that overcomes drawbacks in recommender systems by applying inference techniques borrowed from the Semantic Web, and illustrates its use in AVATAR, a tool that selects appealing audiovisual programs from among the myriad available in Digital TV.
Journal ArticleDOI
Exploiting synergies between semantic reasoning and personalization strategies in intelligent recommender systems: A case study
Yolanda Blanco-Fernández,José J. Pazos-Arias,Alberto Gil-Solla,Manuel Ramos-Cabrer,Martín López-Nores,Jorge García-Duque,Ana Fernández-Vilas,Rebeca P. Díaz-Redondo +7 more
TL;DR: A reasoning-based approach that borrows reasoning techniques from the Semantic Web, elaborating recommendations based on the semantic relationships inferred between the user's preferences and the available items improves the quality of the suggestions offered by the current personalization approaches, and greatly reduces their most severe limitations.
Journal ArticleDOI
Exploring synergies between content-based filtering and Spreading Activation techniques in knowledge-based recommender systems☆
Yolanda Blanco-Fernández,Martín López-Nores,Alberto Gil-Solla,Manuel Ramos-Cabrer,José J. Pazos-Arias +4 more
TL;DR: This paper presents a novel content-based recommendation strategy that resorts to semantic reasoning mechanisms adopted in the Semantic Web, such as Spreading Activation techniques and semantic associations to fulfill the personalization requirements of recommender systems.
Journal ArticleDOI
TV program recommendation for groups based on muldimensional TV-anytime classifications
Rafael Sotelo,Yolanda Blanco-Fernández,Martín López-Nores,Alberto Gil-Solla,José J. Pazos-Arias +4 more
TL;DR: An approach to content recommendation for groups of people, based on TV-Anytime descriptions of TV contents and semantic reasoning techniques is presented.