Web personalization: the state of the art and future avenues for research and practice

V Salonen, H Karjaluoto - Telematics and Informatics, 2016 - Elsevier
Although web personalization has been examined by earlier literature reviews, an updated
analysis of recent advances in the field is needed. The authors extend prior reviews of web …

Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential

AI Canhoto, F Clear - Business Horizons, 2020 - Elsevier
Artificial intelligence (AI) and machine learning (ML) may save money and improve the
efficiency of business processes, but these technologies can also destroy business value …

Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing

F Thomaz, C Salge, E Karahanna, J Hulland - Journal of the Academy of …, 2020 - Springer
The Web is a constantly evolving, complex system, with important implications for both
marketers and consumers. In this paper, we contend that over the next five to ten years …

Active learning in recommender systems

N Rubens, M Elahi, M Sugiyama, D Kaplan - Recommender systems …, 2015 - Springer
Abstract In Recommender Systems (RS), a user's preferences are expressed in terms of
rated items, where incorporating each rating may improve the RS's predictive accuracy. In …

Two-stage travel itinerary recommendation optimization model considering stochastic traffic time

Y Ding, L Zhang, C Huang, R Ge - Expert Systems with Applications, 2024 - Elsevier
In an increasingly competitive market, most online tour operators have launched
personalized travel itinerary recommendation services. Different from previous studies, this …

The role of user privacy concerns in shaping competition among platforms

E Gal-Or, R Gal-Or, N Penmetsa - Information Systems …, 2018 - pubsonline.informs.org
We study the effect of user privacy concerns on competition between online advertising
platforms. Online platforms attract advertisers by offering capabilities to reach audiences …

Overt and covert customer data collection in online personalized advertising: The role of user emotions

L Grigorios, S Magrizos, I Kostopoulos… - Journal of Business …, 2022 - Elsevier
Due to its immense popularity amongst marketing practitioners, online personalized
advertising is increasingly becoming the subject of academic research. Although advertisers …

Product recommendation and consumer search

V Choudhary, Z Zhang - Journal of Management Information …, 2023 - Taylor & Francis
We study an online environment where a firm provides strategic product recommendations
to consumers. We develop an analytical framework to integrate recommendations into the …

Nudging moods to induce unplanned purchases in imperfect mobile personalization contexts

SY Ho, KH Lim - Mis Quarterly, 2018 - JSTOR
By tracking consumers' browsing and purchase history, web personalization generates taste-
matched recommendations for each consumer to stimulate purchases. In addition to taste …

Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data

V Fast, D Schnurr, M Wohlfarth - Journal of Information …, 2023 - journals.sagepub.com
Recent high-profile antitrust cases and policy proposals have put a spotlight on the
relationship between firms' access to big data and sustained competitive advantages in …