A Fuzzy Approach to Measure the Similarity Between Web Streaming Users

Autor:	Graçaliz Pereira Dimuro, Sidnei Pereira, Alex Camargo, Paula Fernanda Schiavo, Eduardo Nunes Borges
Rok vydání:	2017
Předmět:	Multimedia business.industry Computer science Fuzzy set Similarity measure Recommender system computer.software_genre Fuzzy logic Personalization The Internet Web service business computer Mobile device
Zdroj:	Proceeding Series of the Brazilian Society of Computational and Applied Mathematics.
ISSN:	2359-0793
DOI:	10.5540/03.2017.005.01.0410
Popis:	The increase of the Internet access and the popularity of mobile devices have influenced the consumption of radio/TV programs on the Web. An alternative for customization programming is the use of recommendation systems to adapt the content transmitted based on the preference of the listeners. The behavior of users accessing content on the Web is highly uncertain and naturally diffuse. In this paper, we propose an approach based on fuzzy set theory to analyze the similarity between users of Web radio programs, capturing similar interests from streaming data available in log files.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::461a56eb0be3ffc6b187eb43c8db44f7 https://doi.org/10.5540/03.2017.005.01.0410 Zobrazit plný text záznamu