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 …
The digital transformation of business. Towards the datafication of the relationship with customers
C Fernández-Rovira, JÁ Valdés, G Molleví… - … Forecasting and Social …, 2021 - Elsevier
Research presents an analysis of the most recent literature focused on digital transformation
in business with special emphasis on the area of marketing. Within the framework of the …
in business with special emphasis on the area of marketing. Within the framework of the …
RETRACTED ARTICLE: Defining content marketing and its influence on online user behavior: a data-driven prescriptive analytics method
B Barbosa, JR Saura, SB Zekan… - Annals of Operations …, 2024 - Springer
Content marketing involves producing and distributing content effectively and initially
through digital channels. However, digital marketing strategies and business models can …
through digital channels. However, digital marketing strategies and business models can …
Machine learning in marketing: A literature review, conceptual framework, and research agenda
EWT Ngai, Y Wu - Journal of Business Research, 2022 - Elsevier
In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …
considerable attention in different industry sectors, including marketing. ML and AI hold …
A hybrid recommender system for recommending relevant movies using an expert system
B Walek, V Fojtik - Expert Systems with Applications, 2020 - Elsevier
Currently, the Internet contains a large amount of information, which must then be filtered to
determine suitability for certain users. Recommender systems are a very suitable tool for this …
determine suitability for certain users. Recommender systems are a very suitable tool for this …
A hybrid recommender system for an online store using a fuzzy expert system
B Walek, P Fajmon - Expert Systems with Applications, 2023 - Elsevier
Nowadays, various recommender systems are popular and their main aim is to recommend
suitable content to the user based on various parameters. This article proposes a hybrid …
suitable content to the user based on various parameters. This article proposes a hybrid …
Stay away from me
This study attempts to identify the potential determinants of advertising avoidance in the
context of personalized advertising media, including unsolicited commercial e-mail, postal …
context of personalized advertising media, including unsolicited commercial e-mail, postal …
A literature review and classification of recommender systems research
DH Park, HK Kim, IY Choi, JK Kim - Expert systems with applications, 2012 - Elsevier
Recommender systems have become an important research field since the emergence of
the first paper on collaborative filtering in the mid-1990s. Although academic research on …
the first paper on collaborative filtering in the mid-1990s. Although academic research on …
Application of data mining techniques in customer relationship management: A literature review and classification
Despite the importance of data mining techniques to customer relationship management
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …