I MLAPM 2023 – 1^st Special Session on Machine Learning applied to Marketing

Special sessions system for submissions

Description:

Marketing (MK) is an important research area with recently related with Machine Learning (ML) theme, including direct impact associated and capable to complement projects and initiatives related communication, advertising, campaigns strategies and so on.

In this sense, this call aims to involve different players as authors: academic researchers on behalf of its host institution, organizational collaborators representing their projects and others as the ones from Marketing or any else organizations interested in this growing MK-ML correlation. All research works are invited to respect the overarching conference theme, namely what concerns the Information Systems and Technology area.

Papers from other research areas are welcome, the ones related within special session theme and under involvement with conference scope. Papers should focus on advanced current knowledge, even an applied or methodological research is explicit.

Participants may submit papers on the following topics:

• Introduction to Machine Learning in Marketing.
• Predictive Analytics.
• Customer Segmentation.
• Personalization.
• Recommendation Engines.
• Image and Speech Recognition.
• Text Mining and Sentiment Analysis in Marketing.
• Digital advertising and field experiments.
• AI and human-machine hybrid for personalization and attribution.
• Machine learning and dynamic optimization.
• Deep Learning Applications in Marketing.
• Diffusion of Fintech and blockchain.
• Customer reviews and product innovations on platforms.
• Omnichannel targeting online offline.
• Social media analytics and customer insights.
• Mobile app advertising and pricing.
• Consumer privacy, ad fraud prevention, and big data.
• Digital addiction, self-control, and social movements online.
• Psychology, policy, legal implications of AI, AR, VR technologies.
• Ethics and Responsible AI on Machine Learning in Marketing.
• Psychology, policy, legal implications of AI, AR, VR technologies.
• Ethics and Responsible AI on Machine Learning in Marketing.
• Other topics converging with the work session theme.

Important dates:

Deadline for article upload: September 9 20, 2023.

Acceptance notification: October 09, 2023.

Registration: October 19, 2023.

Conference: 30 November at 2 December 2023.

Special Session Chair:

• Victor Santos (Politécnico de Coimbra, ISCAC – Instituto Superior de Contabilidade e Administração de Coimbra)
• Pedro Malta (Universidade Nova de Lisboa, Nova IMS – Information Management School)

Scientific Comittee:

• Alexandre Caldas – United Nations, Belgium
• Ana Margarida Alexandre – EDP Comercial, Portugal
• Anabela Mesquita – Polytechnic of Porto & Algoritmi RC, Portugal
• Ana Paula Camarinha Teixeira – CEOS. PP, Polytechnic of Porto, Portugal; SIIS - Social Innovation and Interactive Systems, Polytechnic of Porto, Portugal
• André Rodrigues – Instituto Superior de Contabilidade e Administração de Coimbra, Portugal
• António Trigo – Instituto Superior de Contabilidade e Administração de Coimbra, Portugal
• Artur Strzelecki – University of Economics in Katowice, Poland
• Carolina Santos – Escola Nacional de Saúde Pública, Portugal
• Cédric Grueau – Instituto Politécnico de Setúbal, Portugal
• Joana Leite – Instituto Superior de Contabilidade e Administração de Coimbra, Portugal
• Joaquim Silva – Instituto Politécnico do Cávado e Ave, Portugal
• José Luís Reis – Universidade da Maia, Portugal
• Luís Alexandre Gomes – CEBI, Portugal
• Luís Silva Rodrigues – Polytechnic of Porto, Portugal
• Luís Tavares – LigaT, Portugal
• M. Filomena Castro Lopes – Universidade Portucalense, Portugal
• Małgorzata Pańkowska – University of Economics in Katowice, Poland
• Nuno Garcia – Faculdade de Ciências da Universidade de Lisboa, Portugal
• Pedro Malta – Nova Information Management School, Portugal
• Rui Dinis Sousa – Universidade do Minho, Portugal
• Sérgio Guerreiro – INESC-ID / Instituto Superior Técnico, University of Lisbon, Portugal
• Sérgio Moro – ISCTE- Instituto Universitário de Lisboa, Portugal
• Víctor Santos – Instituto Superior de Contabilidade e Administração de Coimbra, Portugal