Probability models for assessing effectiveness of advertising channels in the internet environment

Tinyakova, V. I.; Davnis, V. V.; Lavrinenko, Y. B.; Shishkina, L. A.

Full metadata record

DC Field	Value	Language
dc.contributor.author	Tinyakova, V. I.	-
dc.contributor.author	Davnis, V. V.	-
dc.contributor.author	Lavrinenko, Y. B.	-
dc.contributor.author	Shishkina, L. A.	-
dc.date.accessioned	2019-08-28T09:04:46Z	-
dc.date.available	2019-08-28T09:04:46Z	-
dc.date.issued	2018	-
dc.identifier.citation	Probability models for assessing effectiveness of advertising channels in the internet environment / V.I. Tinyakova [и др.] // The Journal of Social Sciences Research. - 2018. - N5.-P. 209-215.	ru
dc.identifier.uri	http://dspace.bsu.edu.ru/handle/123456789/27144	-
dc.description.abstract	The purpose of the paper is to create an attribution model that comprehensively evaluates multi-channel sequences and shows the effect of each channel on the conversion. The presented model of attribution can be based on the theory of graphs or Markov chains. The first method of calculation is more visual, the second (based on Markov chains) allows for work with a large amount of data	ru
dc.language.iso	en	ru
dc.subject	technology	ru
dc.subject	information technology	ru
dc.subject	attribution model	ru
dc.subject	multi-channel attribution	ru
dc.subject	internet marketing	ru
dc.subject	advertising channel	ru
dc.subject	conversion	ru
dc.subject	advertising budget	ru
dc.subject	graph model	ru
dc.subject	Markov chain	ru
dc.title	Probability models for assessing effectiveness of advertising channels in the internet environment	ru
dc.type	Article	ru
Appears in Collections:	Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)