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Publikováno v:
Big Data & Information Analytics. 2:107-118
We present a method by which to convert a large corpus of website traffic data into interactive and practical taste graph visualizations. The website traffic data lists individual visitors' level of interest in specific pages across the website; it i
Autor:
Ajaz Hussain, Melissa Diep, Marcus Gordon, Feng Yuan, Sara Diamond, Steve Szigeti, Lan-Xi Dong
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030235246
HCI (35)
HCI (35)
Media industries and advertisers are increasingly turning to big data analytics to better understand audience media consumption patterns, as evidenced by Canada’s Globe and Mail’s applications Sophi and TasteGraph [1, 2]. Data analytics and inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7616ac40e0e2c2b47d19a41fa0873a45
https://doi.org/10.1007/978-3-030-23525-3_4
https://doi.org/10.1007/978-3-030-23525-3_4