Bing-SF-IDF+

Autor: Frederik Hogenboom, Flavius Frasincar, Marnix Moerland, Damir Vandic, Michel Capelle

Publikováno v: SAC
30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015), 732-739
STARTPAGE=732;ENDPAGE=739;TITLE=30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015)

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 t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdb989f9181912149127f382dde40ee8
https://doi.org/10.1145/2695664.2695700

News Recommendation using Semantics with the Bing-SF-IDF Approach

Autor: Marnix Moerland, Michel Capelle, Frederik Hogenboom

Publikováno v: Tenth International Workshop on Web Information Systems Modeling (WISM 2013) at Thirty-Second International Conference on Conceptual Modeling (ER 2013)
Lecture Notes in Computer Science ISBN: 9783319141381
ER Workshops

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 accou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fff4748b5136fcfe27213a75f492abf6
https://pure.eur.nl/en/publications/86a9385f-6619-465f-b8a8-5e9a4049d2b0