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Personalization in personalized marketing: Trends and ways forward
In marketing, personalization is the action of designing and producing in ways that resonate
with customer preferences. Content and products that are personalized according to …
with customer preferences. Content and products that are personalized according to …
Artificial intelligence in E-Commerce: a bibliometric study and literature review
This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …
guidelines on how information systems (IS) research could contribute to this research …
Personalized online advertising effectiveness: The interplay of what, when, and where
A Bleier, M Eisenbeiss - Marketing Science, 2015 - pubsonline.informs.org
Firms track consumers' shop** behaviors in their online stores to provide individually
personalized banners through a method called retargeting. We use data from two large …
personalized banners through a method called retargeting. We use data from two large …
Fischer linear discrimination and quadratic discrimination analysis–based data mining technique for internet of things framework for Healthcare
The internet of reality or augmented reality has been considered a breakthrough and an
outstanding critical mutation with an emphasis on data mining leading to dismantling of …
outstanding critical mutation with an emphasis on data mining leading to dismantling of …
Artificial emotions and love and sex doll service workers
R Belk - Journal of Service Research, 2022 - journals.sagepub.com
Realistic looking humanoid love and sex dolls have been available on a somewhat
secretive basis for at least three decades. But today the industry has gone mainstream with …
secretive basis for at least three decades. But today the industry has gone mainstream with …
Adnostic: Privacy preserving targeted advertising
Online behavioral advertising (OBA) refers to the practice of tracking users across web sites
in order to infer user interests and preferences. These interests and preferences are then …
in order to infer user interests and preferences. These interests and preferences are then …
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Collaborative filtering (CF)-based recommender systems represent a promising solution for
the rapidly growing mobile music market. However, in the mobile Web environment, a …
the rapidly growing mobile music market. However, in the mobile Web environment, a …
Personalized recommendation via integrated diffusion on user–item–tag tripartite graphs
Personalized recommender systems are confronting great challenges of accuracy,
diversification and novelty, especially when the data set is sparse and lacks accessorial …
diversification and novelty, especially when the data set is sparse and lacks accessorial …
Discovering influencers for marketing in the blogosphere
YM Li, CY Lai, CW Chen - Information Sciences, 2011 - Elsevier
Discovering influential bloggers will not only allow us to understand better the social
activities taking place in the blogosphere, but will also provide unique opportunities for sales …
activities taking place in the blogosphere, but will also provide unique opportunities for sales …
How effective is targeted advertising?
A Farahat, MC Bailey - Proceedings of the 21st international conference …, 2012 - dl.acm.org
Advertisers are demanding more accurate estimates of the impact of targeted
advertisements, yet no study proposes an appropriate methodology to analyze the …
advertisements, yet no study proposes an appropriate methodology to analyze the …