Search Results - subject:"Recommendation System"

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 articles. Collaborative filtering (CF) algorithms play a central role in generating personalised recommendations. There are numerous CF approaches in the literature that have...

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

Consumer behaviour : analysing marketing campaigns through recommender systems and statistical techniques

Cherkaoui, Nabil; El Handri, Kaoutar; Doukoua Yandah, … - In: Marketing i menedžment innovacij : m&mi 15 (2024) 3, pp. 1-12

Persistent link: https://www.econbiz.de/10015195803

Self-learning recommendation system using reinforcement learning

Rymarczyk, Paweł; Smutek, Tomasz; Stefańczak, Daria; … - 2024

Persistent link: https://www.econbiz.de/10014543771

Multicriteria decision making taxonomy of code recommendation system challenges : a fuzzy-AHP analysis

Azeem Akbar, Muhammad; Khan, Arif Ali; Huang, Zhiqiu - In: Information technology and management 24 (2023) 2, pp. 115-131

Persistent link: https://www.econbiz.de/10014252052

A personalized content-based method to predict customers' preferences in an online apparel retailer

KabirMamdouh, Alireza; Kök, A. Gürhan - In: International journal of production economics 280 (2025), pp. 1-14

Persistent link: https://www.econbiz.de/10015372705

Rating with the senses : how sensory encounters are reflected on online review ratings?

Hallikainen, Heli; Halinen, Marianna; Tervonen, Hannes; … - In: Psychology & marketing 42 (2025) 1, pp. 159-174

Persistent link: https://www.econbiz.de/10015372971

Social dynamics of luxury customization : the unique impact of name personalization

O'Rourke, Anne-Maree; Lin, Joanna; Sung, Billy; … - In: Psychology & marketing 42 (2025) 2, pp. 493-513

Persistent link: https://www.econbiz.de/10015373135

Usage complementarity vs. basket co-occurrence : discount depth reliance in digitally personalized product recommendations

Choi, Jungsil; Park, Hyun Young - In: Journal of retailing 101 (2025) 2, pp. 177-196

Persistent link: https://www.econbiz.de/10015427542

Modeling sustainable city trips : integrating CO₂ e emissions, popularity, and seasonality into tourism recommender systems

Banerjee, Ashmi; Mahmudov, Tunar; Adler, Emil; Aisyah, … - In: Information technology & tourism 27 (2025) 1, pp. 189-226

Persistent link: https://www.econbiz.de/10015439402

Personalized recommendation, behavior-based pricing, or both? : examining privacy concerns from a cost perspective

Zhou, Chi; Bai, Danyang; Li, Tieshan; Yu, Jing - In: Omega : the international journal of management science 133 (2025), pp. 1-20

Persistent link: https://www.econbiz.de/10015407212

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