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Recommending Products When Consumers Learn Their Preference Weights

Citations

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Cited by:

  1. Julien Grenet & YingHua He & Dorothea Kübler, 2022. "Preference Discovery in University Admissions: The Case for Dynamic Multioffer Mechanisms," Journal of Political Economy, University of Chicago Press, vol. 130(6), pages 1427-1476.
  2. Z. Eddie Ning & Jiwoong Shin & Jungju Yu, 2025. "Targeted Advertising as Implicit Recommendation: Strategic Mistargeting and Personal Data Opt-out," Marketing Science, INFORMS, vol. 44(2), pages 390-410, March.
  3. Jae-Yun Lee & Jiwoong Shin & Jungju Yu, 2026. "Communicating Attribute Importance Under Competition," Marketing Science, INFORMS, vol. 45(3), pages 534-555, May.
  4. Julien Grenet & Yinghua He & Dorothea Kübler, 2022. "Preference Discovery in University Admissions: The Case for Dynamic Multioffer Mechanisms," PSE-Ecole d'économie de Paris (Postprint) hal-04157650, HAL.
  5. Alexander K. Moore & Reid Hastie, 2025. "Navigating choices: a framework of consumer search," Marketing Letters, Springer, vol. 36(2), pages 215-226, June.
  6. Rui Yang & Noman Shaheer & Yonggui Wang & Zhuyi Angelina Li, 2025. "The internationalization of digital cultural content creators on global social media: navigating virtual outsidership in a borderless space," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 56(8), pages 1010-1028, October.
  7. Panagiotis (Panos) Adamopoulos, 2024. "The Spillover Effect of Fraudulent Reviews on Product Recommendations," Management Science, INFORMS, vol. 70(12), pages 8818-8832, December.
  8. Liu, Fan & Liao, Huchang & Al-Barakati, Abdullah, 2023. "Physician selection based on user-generated content considering interactive criteria and risk preferences of patients," Omega, Elsevier, vol. 115(C).
  9. Wei Zhou & Mingfeng Lin & Mo Xiao & Lu Fang, 2025. "Higher Precision Is Not Always Better: Search Algorithm and Consumer Engagement," Management Science, INFORMS, vol. 71(7), pages 6204-6226, July.
  10. Jifeng Mu & Jonathan Z. Zhang, 2025. "Artificial intelligence marketing usage and firm performance," Journal of the Academy of Marketing Science, Springer, vol. 53(4), pages 1081-1134, July.
  11. Xitong Li & Jörn Grahl & Oliver Hinz, 2022. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Information Systems Research, INFORMS, vol. 33(2), pages 620-637, June.
  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. Bitty Balducci & Detelina Marinova, 2018. "Unstructured data in marketing," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 557-590, July.
  14. Kris J. Ferreira & Sunanda Parthasarathy & Shreyas Sekar, 2022. "Learning to Rank an Assortment of Products," Management Science, INFORMS, vol. 68(3), pages 1828-1848, March.
  15. Ilya Morozov, 2023. "Measuring Benefits from New Products in Markets with Information Frictions," Management Science, INFORMS, vol. 69(11), pages 6988-7008, November.
  16. Charles Hodgson & Gregory Lewis, 2025. "You Can Lead a Horse to Water: Spatial Learning and Path Dependence in Consumer Search," Econometrica, Econometric Society, vol. 93(4), pages 1299-1332, July.
  17. Zikun Liu & Jiwoong Shin & Jidong Zhou, 2025. "Personalized Discounts and Consumer Search," Cowles Foundation Discussion Papers 2440, Cowles Foundation for Research in Economics, Yale University.
  18. Grenet, Julien & He, Yinghua & Kübler, Dorothea, 2019. "Decentralizing Centralized Matching Markets: Implications From Early Offers in University Admissions," Rationality and Competition Discussion Paper Series 158, CRC TRR 190 Rationality and Competition.
  19. Song, Yongming & Li, Yanhong & Zhu, Hongli & Li, Guangxu, 2023. "A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  20. Jose A. Carrasco & Rodrigo Yañez, 2022. "Sequential search and firm prominence," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(1), pages 209-233, July.
  21. 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.
  22. Jun Li & Serguei Netessine, 2020. "Higher Market Thickness Reduces Matching Rate in Online Platforms: Evidence from a Quasiexperiment," Management Science, INFORMS, vol. 66(1), pages 271-289, January.
  23. Peter Gibbard & Kelson Sadlier, 2025. "Optimal adaptive Bayesian design in choice experiments: performance for the population versus individuals," Marketing Letters, Springer, vol. 36(3), pages 547-559, September.
  24. Wenhao Guo & Jin Tian & Minqiang Li, 2026. "A bidirectional sequential recommender system based on multi-source price factors," Electronic Commerce Research, Springer, vol. 26(2), pages 2131-2152, April.
  25. Zhao, Meina & Wang, Xuqi, 2021. "Perception value of product-service systems: Neural effects of service experience and customer knowledge," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
  26. Erdem Dogukan Yilmaz & Ivana Naumovska & Milan Miric, 2023. "Does imitation increase or decrease demand for an original product? Understanding the opposing effects of discovery and substitution," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 639-671, March.
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