Traditionally, content-based news recommendation is performed by means of the cosine similarity and the TF-IDF weighting scheme for terms occurring in news messages and user profiles. Semantics-driven variants like SF-IDF additionally take into account term meaning by exploiting synsets from semantic ...
Content-based news recommendation is traditionally performed using the cosine similarity and TF-IDF weighting scheme for terms occurring in news messages and user profiles. Semantics-driven variants such as SF-IDF additionally take into account term meaning by exploiting synsets from semantic lexicons....
While traditionally content-based news recommendation was performed using the word vector space model, more recent approaches also take into account semant... M Capelle,F Hogenboom,A Hogenboom,... - ACM 被引量: 33发表: 2013年 PENETRATE: Personalized news recommendation using ensemble hierarchical cl...
In this paper, we propose a news recommendation system to provide user personalized recommendation based on their profile. Our system presents the generation of user profile: (1) extracts the user tag through TextRank; (2) incorporates the timeliness of the news and generates the user profile ...
Since 1989, he has been a faculty member at the University of Salerno where he teaches Multiagent-based Systems and Neural Systems and Knowledge Discovery. His current position is as a Full Professor of Computer Science with the Department of Computer Science. He was the Principal Investigator ...
audio) based applications have employed different fusion schemes with success. In [27] multimodal fusion from multiple media sources is treated as a two step problem. The first step involves finding statistically independent modalities followed by super-kernel fusion to determine ...
news delivering serviceThis paper proposes a semantic computing application for a news delivering service collects and recommends news articles which user feels interested in based on semantic relations between terms in the articles. We define interested articles as the ones that users have curiosity ...
Content-based news recommendation is traditionally performed using the cosine similarity and the TF-IDF weighting scheme for terms occurring in news messages and user profiles. Semantics-driven variants such as SF-IDF additionally take into account term meaning by exploiting synsets from semantic lexicon...
Knowledge Discovery in Databases (KDD) has evolved significantly over the past years and reached a mature stage offering plenty of operators to solve complex data analysis tasks. User support for building data analysis workflows, however, has not progres
Based on our literature review, as well as on the collective vision of the members of the IFIP WG 2.6 on Data Semantics, we will discuss how methods, principles, and perspectives developed by the Data Semantics community can contribute to address Big Data challenges. In this respect, this pap...