Search Results - subject:"user profiling"

Is first- or third-party audience data more effective for reaching the "right" customers? : the case of IT decision-makers

Neumann, Nico; Tucker, Catherine; Subramanyam, Kumar; … - In: Quantitative marketing and economics : QME 21 (2023) 4, pp. 519-571

Persistent link: https://www.econbiz.de/10014458489

Research on the innovation of marketing management mode under the digital transformation of textile and garment enterprises

Liu, Jiahua; Liu, Zhenjian; Xu, Yunbao - In: Journal of information & knowledge management : JIKM 23 (2024) 1, pp. 1-19

Persistent link: https://www.econbiz.de/10014533763

Data mining in marketing : 15th International Workshop on Data Mining in Marketing, DMM 2019, New York, USA, July 19, 2019 : proceedings

Perner, Petra (ed.) - International Workshop on Data Mining in Marketing … - 2019

Persistent link: https://www.econbiz.de/10012430815

Twitter use by the dementia community during COVID-19: a user classification and social network analysis

Alhayan, Fatimah; Pennington, Diane; Ayouni, Sarra - In: Online Information Review 47 (2022) 1, pp. 41-58

Purpose The study aimed to examine how different communities concerned with dementia engage and interact on Twitter. Design/methodology/approach A dataset was sampled from 8,400 user profile descriptions, which was labelled into five categories and subjected to multiple machine learning (ML)...

Persistent link: https://www.econbiz.de/10014966723

User profiling and role evaluation of government microbloggers in the context of public emergencies

An, Lu; Shen, Yan; Tao, Yanfang; Li, Gang; Yu, Chuanming - In: Online Information Review 47 (2022) 6, pp. 1116-1133

time, content, scale and influence, this paper fills the gap in existing literature on designing the user profiling and … the governments' response capability to public emergencies. Design/methodology/approach This study proposes the user … profiling and role evaluation model of government microbloggers in the context of public emergencies. The indicators are …

Persistent link: https://www.econbiz.de/10014967156

Modeling dynamic user interests : a neural matrix factorization approach

Dhillon, Paramveer S.; Aral, Sinan - In: Marketing science 40 (2021) 6, pp. 1059-1080

Persistent link: https://www.econbiz.de/10012796215

Integrating User Reviews and Ratings for Enhanced Personalized Searching

Hu, Shuyue; Cai, Yi; Leung, Ho-fung; Huang, Dongping; … - In: International Journal of Distance Education … 15 (2017) 2, pp. 86-101

the user's interests and disinterest. Thus, they are very useful for user profiling. In this study, the authors explore … users' reviews and ratings of reviews for personalized searching and propose a review-based user profiling method. To …

Persistent link: https://www.econbiz.de/10012044024

Crumbs of the cookie : user profiling in customer-base analysis and behavioral targeting

Trusov, Michael; Ma, Liye; Jamal, Zainab - In: Marketing science 35 (2016) 3, pp. 405-426

Persistent link: https://www.econbiz.de/10011498934

Context Effects of TV Programme-Induced Interactivity and Telepresence on Advertising Responses

CAUBERGHE, V.; GEUENS, M.; PELSMACKER, P. DE - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2010

Persistent link: https://www.econbiz.de/10008672315

Exploring the Impact of Fear Appeals on the Prevention of Shoplifting.

BOCK, T. DE; VERMEIR, I.; PANDELAERE, M.; KENHOVE, P. VAN - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2010

The present study investigates the effectiveness of fear appeals in preventing shoplifting among adolescents. We study the effects of type of punishment (social disapproval versus fines), probability of getting caught when shoplifting and severity of the punishment. Results show that social...

Persistent link: https://www.econbiz.de/10008672317