Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

The commercial content digest formation and distributional process

Authors: Victoria Vysotska; Lyubomyr Chyrun; Liliya Chyrun;

The commercial content digest formation and distributional process

Abstract

The paper describes the digest formation algorithm and algorithm of content distribution between participants in the process of content formation. The distribution is normally performed by moderators. The content distributional subsystem shortens the time and diminishes the resource usage for the further electronic content commerce systems (ECCS) functioning. The distributional process expects several stages to be processed: the distributional objects list formation (e.g. articles, software, books or digests); the estimation of the content distributional criterions / features from the received list (the content uniqueness percent, the amount of the content requests, the users' mark and the review time); the content authors ratings creation; the content's parameters evaluation for the purpose to use it within the distributional process. The listed criterions are not of the same importance and significance within their total analysis and the computing of the content authors' work quality composite mark. The content contains the thematics and the digest. The content distributional system selectively sends digests to authors according to their work quality ratings. The increase in the content volume causes the proper quality and productivity evaluation of the very content author. The increase in the evaluation criterions allows covering the broader aspect range of any author's/ moderator's work.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!