Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Pronoza, Ekaterina"'
Publikováno v:
In Information Processing and Management November 2021 58(6)
Publikováno v:
Internet Science ISBN: 9783030014360
INSCI
INSCI
In this paper we propose a method of movie series recommender system development. Our recommender system is content-based, and movie series are represented by their scripts. We experiment with several semantic similarity measures, lexico-morphologica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b4b2ef23a05ec808706076cc95fd51
https://doi.org/10.1007/978-3-030-01437-7_15
https://doi.org/10.1007/978-3-030-01437-7_15
Publikováno v:
Human Language Technology. Challenges for Computer Science & Linguistics; 2016, p371-385, 15p
Publikováno v:
Information Retrieval: 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015, Revised Selected Papers; 2016, p146-157, 12p
Publikováno v:
Advances in Artificial Intelligence & Its Applications: 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015. Proceedings, Part II; 2015, p39-51, 13p
Autor:
Pronoza, Ekaterina, Yagunova, Elena
Publikováno v:
Advances in Artificial Intelligence & Soft Computing; 2015, p59-71, 13p
Autor:
Pronoza, Ekaterina, Yagunova, Elena
Publikováno v:
2015 Artificial Intelligence & Natural Language & Information Extraction, Social Media & Web Search FRUCT Conference (AINL-ISMW FRUCT); 2015, p74-82, 9p
Publikováno v:
Statistical Language & Speech Processing: Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings; 2014, p272-284, 13p
Restaurant Information Extraction (Including Opinion Mining Elements) for the Recommendation System.
Publikováno v:
Human-Inspired Computing & Its Applications; 2014, p201-220, 20p
Publikováno v:
2014 13th Mexican International Conference on Artificial Intelligence; 2014, p16-23, 8p