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My Mobile Music: An Adaptive Personalization System for Digital Audio Players

Citations

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Cited by:

  1. Junzhou Zhang & Yuping Liu-Thompkins, 2024. "Personalized email marketing in loyalty programs: The role of multidimensional construal levels," Journal of the Academy of Marketing Science, Springer, vol. 52(1), pages 196-216, January.
  2. Xueming Luo & Michelle Andrews & Zheng Fang & Chee Wei Phang, 2014. "Mobile Targeting," Management Science, INFORMS, vol. 60(7), pages 1738-1756, July.
  3. Shrihari Sridhar & Eric Fang, 2019. "New vistas for marketing strategy: digital, data-rich, and developing market (D3) environments," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 977-985, November.
  4. Bruno J.D. Jacobs & Bas Donkers & Dennis Fok, 2016. "Model-Based Purchase Predictions for Large Assortments," Marketing Science, INFORMS, vol. 35(3), pages 389-404, May.
  5. Vivek F. Farias & Andrew A. L, 2019. "Learning Preferences with Side Information," Management Science, INFORMS, vol. 65(7), pages 3131-3149, July.
  6. Tomczyk, Arkadiusz T. & Buhalis, Dimitrios & Fan, Daisy X.F. & Williams, Nigel L., 2022. "Price-personalization: Customer typology based on hospitality business," Journal of Business Research, Elsevier, vol. 147(C), pages 462-476.
  7. Benedict G. C. Dellaert, 2019. "The consumer production journey: marketing to consumers as co-producers in the sharing economy," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 238-254, March.
  8. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.
  9. Marc Bourreau & Germain Gaudin, 2022. "Streaming platform and strategic recommendation bias," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(1), pages 25-47, February.
  10. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
  11. Ming-Hui Huang & Roland T. Rust, 2017. "Technology-driven service strategy," Journal of the Academy of Marketing Science, Springer, vol. 45(6), pages 906-924, November.
  12. Huang, Ming-Hui & Rust, Roland T., 2022. "A Framework for Collaborative Artificial Intelligence in Marketing," Journal of Retailing, Elsevier, vol. 98(2), pages 209-223.
  13. Krafft, Manfred & Arden, Christine M. & Verhoef, Peter C., 2017. "Permission Marketing and Privacy Concerns — Why Do Customers (Not) Grant Permissions?," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 39-54.
  14. Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
  15. Asim Ansari & Yang Li & Jonathan Z. Zhang, 2018. "Probabilistic Topic Model for Hybrid Recommender Systems: A Stochastic Variational Bayesian Approach," Marketing Science, INFORMS, vol. 37(6), pages 987-1008, November.
  16. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
  17. Chong Guan & Yu-Chen Hung & Wenting Liu, 2022. "Cultural differences in hospitality service evaluations: mining insights of user generated content," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1061-1081, September.
  18. Leischnig, Alexander & Kasper-Brauer, Kati & Thornton, Sabrina C., 2018. "Spotlight on customization: An analysis of necessity and sufficiency in services," Journal of Business Research, Elsevier, vol. 89(C), pages 385-390.
  19. Khajehzadeh, Saman & Oppewal, Harmen & Tojib, Dewi, 2014. "Consumer responses to mobile coupons: The roles of shopping motivation and regulatory fit," Journal of Business Research, Elsevier, vol. 67(11), pages 2447-2455.
  20. Hannes Datta & George Knox & Bart J. Bronnenberg, 2018. "Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery," Marketing Science, INFORMS, vol. 37(1), pages 5-21, January.
  21. Huang, Ming-Hui & Dev, Chekitan S., 2020. "Growing the service brand," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 281-300.
  22. Tsukasa Ishigaki & Nobuhiko Terui & Tadahiko Sato & Greg M. Allenby, 2014. "A Large-Scale Marketing Model using Variational Bayes Inference for Sparse Transaction Data," TMARG Discussion Papers 114, Graduate School of Economics and Management, Tohoku University.
  23. Dellaert, B.G.C. & Baker, T. & Johnson, E.J., 2017. "Partitioning Sorted Sets: Overcoming Choice Overload while Maintaining Decision Quality," ERIM Report Series Research in Management 18-2, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  24. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
  25. Rust, Roland T., 2020. "The future of marketing," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 15-26.
  26. Marchand, André & Marx, Paul, 2020. "Automated Product Recommendations with Preference-Based Explanations," Journal of Retailing, Elsevier, vol. 96(3), pages 328-343.
  27. Roland T. Rust & Ming-Hui Huang, 2014. "The Service Revolution and the Transformation of Marketing Science," Marketing Science, INFORMS, vol. 33(2), pages 206-221, March.
  28. Ae-Ri Lee, 2021. "Investigating the Personalization–Privacy Paradox in Internet of Things (IoT) Based on Dual-Factor Theory: Moderating Effects of Type of IoT Service and User Value," Sustainability, MDPI, vol. 13(19), pages 1-27, September.
  29. Wedel, Michel & Bigné, Enrique & Zhang, Jie, 2020. "Virtual and augmented reality: Advancing research in consumer marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 443-465.
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