Personalization in personalized marketing: Trends and ways forward

S Chandra, S Verma, WM Lim, S Kumar… - Psychology & …, 2022 - Wiley Online Library
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 …

Artificial intelligence in E-Commerce: a bibliometric study and literature review

RE Bawack, SF Wamba, KDA Carillo, S Akter - Electronic markets, 2022 - Springer
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 …

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 …

Fischer linear discrimination and quadratic discrimination analysis–based data mining technique for internet of things framework for Healthcare

MK Hasan, TM Ghazal, A Alkhalifah… - Frontiers in Public …, 2021 - frontiersin.org
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 …

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 …

Adnostic: Privacy preserving targeted advertising

V Toubiana, A Narayanan, D Boneh… - Proceedings Network …, 2010 - papers.ssrn.com
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 …

Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations

SK Lee, YH Cho, SH Kim - Information Sciences, 2010 - Elsevier
Collaborative filtering (CF)-based recommender systems represent a promising solution for
the rapidly growing mobile music market. However, in the mobile Web environment, a …

Personalized recommendation via integrated diffusion on user–item–tag tripartite graphs

ZK Zhang, T Zhou, YC Zhang - Physica A: Statistical Mechanics and its …, 2010 - Elsevier
Personalized recommender systems are confronting great challenges of accuracy,
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 …

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 …