Search Results - subject:"Recommender Systems"

Recommending for a multi-sided marketplace : a multi-objective hierarchical approach

Wang, Yuyan; Tao, Long; Zhang, Xian Xing - In: Marketing science 44 (2025) 1, pp. 1-29

Persistent link: https://www.econbiz.de/10015197173

Collaborative filtering recommender systems : methods, strengths and weaknesses

Schmidtke, Marcel; Neeb, Jannik; Wöhner, Thomas - 2025

Recommender systems are indispensable in e-business due to the extensive product range and the large number of niche …

Persistent link: https://www.econbiz.de/10015374761

Collaborative filtering recommender systems: Methods, strengths and weaknesses

Schmidtke, Marcel; Neeb, Jannik; Wöhner, Thomas - 2025

Recommender systems are indispensable in e-business due to the extensive product range and the large number of niche …

Persistent link: https://www.econbiz.de/10015376099

The Potential of Recommender Systems for Directing Job Search: A Large-Scale Experiment

Behaghel, Luc; Dromundo, Sofia; Gurgand, Marc; Hazard, Yagan - 2024

We analyze the employment effects of directing job seekers' applications toward establishments likely to recruit. We run a two-sided randomization design involving about 800,000 job seekers and 40,000 establishments, based on an empirical model that recommends each job seeker to firms so as to...

Persistent link: https://www.econbiz.de/10014533961

Regulating high-reach AI: On transparency directions in the Digital Services Act

Söderlund, Kasia; Engström, Emma; Haresamudram, Kashyap; … - In: Internet Policy Review 13 (2024) 1, pp. 1-31

the rules laid down by the Digital Services Act (DSA) for recommender systems used by dominant social media platforms as a …-reach AI technologies, exemplified by social media recommender systems. …

Persistent link: https://www.econbiz.de/10014538870

WOM, eWOM and WOMachine: The evolution of consumer recommendations through a systematic review of 194 studies

Jansen, Thomas; Moura, Francisco Tigre - 2024

mouth or different types of recommender systems, recommendations help consumers adopt or reject leads, and can be highly … that eWOM and recommender systems have a synergistic effect fueled by non-verbal cues of eWOM and accuracy of the system …. Conversational recommender systems act similarly to WOM by encouraging explicit feedback. However, data privacy concerns make …

Persistent link: https://www.econbiz.de/10014556418

SJORS : a semantic recommender system for journalists

Garrido, Ángel Luis; Pera, Maria Soledad; Bobed, Carlos - In: Business & information systems engineering 66 (2024) 6, pp. 691-708

Persistent link: https://www.econbiz.de/10015195618

An investigation of the exposure effect of recommender systems in hospitality

Leeuwen, Rik van; Hoogkamp, Koen; Koole, Ger M. - In: Decision analytics journal 10 (2024), pp. 1-13

This study aims to investigate the role of a recommendation system (RS) in personalizing the guest journey in the hospitality industry and its impact on decision making, particularly the exposure effect. The study has two main objectives: (a) to quantify the additional value of using a RS based...

Persistent link: https://www.econbiz.de/10014543860

WOM, eWOM and WOMachine : the evolution of consumer recommendations through a systematic review of 194 studies

Jansen, Thomas; Moura, Francisco Tigre - 2024

Persistent link: https://www.econbiz.de/10014547940

Regulating high-reach AI : on transparency directions in the Digital Services Act

Söderlund, Kasia; Engström, Emma; Haresamudram, Kashyap; … - In: Internet policy review : journal on internet regulation 13 (2024) 1, pp. 1-31

Persistent link: https://www.econbiz.de/10014536130