The phrase "advertising framework" is correct and usable in written English.
It can be used when discussing the structure or system that supports advertising strategies and practices.
Example: "The advertising framework we implemented has significantly improved our campaign effectiveness and reach."
Alternatives: "advertising structure" or "advertising model".
This is an inappropriate model for a content advertising framework.
This section presents the results of simulation experiments conducted to evaluate the performance of the proposed P2P VoD advertising framework.
A P2P VoD advertising framework based on video distortion estimation prior to data stream-chunk replication is proposed.
The main operating characteristics of the proposed P2P VoD advertising framework includes: (a) an on-demand video repository server, (b) a web portal service, (c) trackers, (d) audience-peers (a set of free-riding peers), and (e) supporting-peers.
This article proposes a P2P VoD advertising framework based on the estimation of video distortion prior to the replication data stream chunks, as shown in Figure 2. The major achievement of the proposed framework is the reduction of server load and the optimization of overall video quality under given network conditions.
In contrast to the current static graphically based advertising model, the proposed framework provides interactive ADs whose actions, appearance and content will be designed by the advertiser and pushed to match the receiving users' characteristics and preferences.
This is important, because many widely used digital advertising consent frameworks rolled out to websites in Europe this year — in claimed compliance with GDPR — are using a contractual route to obtain consent, and bundling partner processing behind often hideously labyrinthine consent flows.
The aim of this paper is to shed some light on the rhetorical import of echoing fashion in online automobile advertising within the framework of Relevance Theory.
This paper proposes an interactive mobile advertisement (AD) framework that aims to solve the problems encountered for current mobile ADs, which is that advertising is filtered according to users' actions rather than according to their characteristics and preferences.
Advertising response model.
As the native advertising market explodes, the framework presented here aims to add a first layer of structure and definition to the emerging medium.
