Product Ranking in the Presence of Social Learning

References

• Abeliuk A, Berbeglia G, Cebrian M, Van Hentenryck P (2015) The benefits of social influence in optimized cultural markets. PLoS One 10(4):1–20.Crossref, Google Scholar
• Abeliuk A, Berbeglia G, Cebrian M, Van Hentenryck P (2016) Assortment optimization under a multinomial logit model with position bias and social influence. 4OR 14(1):57–75.Crossref, Google Scholar
• Acemoglu D, Makhdoumi A, Malekian A, Ozdaglar A (2022) Learning from reviews: The selection effect and the speed of learning. Econometrica. Forthcoming.Google Scholar
• Agrawal S, Avadhanula V, Goyal V, Zeevi A (2019) MNL-Bandit: A dynamic learning approach to assortment selection. Oper. Res. 67(5):1453–1485.Link, Google Scholar
• Arkes HR, Blumer C (1985) The psychology of sunk cost. Organ. Behav. Human Decision Processes 35(1):124–140.Crossref, Google Scholar
• Aronson E, Mills J (1959) The effect of severity of initiation on liking for a group. J. Abnormal Soc. Psych. 59(2):177–181.Crossref, Google Scholar
• Banerjee AV (1992) A simple model of herd behavior. Quart. J. Econom. 107(3):797–817.Google Scholar
• Berbeglia F, Berbeglia G, Van Hentenryck P (2021) Market segmentation in online platforms. Eur. J. Oper. Res. 295(3):1025–1041.Crossref, Google Scholar
• Besbes O, Scarsini M (2018) On information distortions in online ratings. Oper. Res. 66(3):597–610.Link, Google Scholar
• Besbes O, Zeevi A (2009) Dynamic pricing without knowing the demand function: Risk bounds and near-optimal algorithms. Oper. Res. 57(6):1407–1420.Link, Google Scholar
• Bikhchandani S, Hirshleifer D, Welch I (1992) A theory of fads, fashion, custom, and cultural change as informational cascades. J. Political Econom. 100(5):992–1026.Crossref, Google Scholar
• Bimpikis K, Ehsani S, Mostagir M (2019) Designing dynamic contests. Oper. Res. 67(2):339–356.Abstract, Google Scholar
• Broder J, Rusmevichientong P (2012) Dynamic pricing under a general parametric choice model. Oper. Res. 60(4):965–980.Link, Google Scholar
• Che YK, Hörner J (2018) Recommender systems as mechanisms for social learning. Quart. J. Econom. 133(2):871–925.Crossref, Google Scholar
• Chen N, Li A, Talluri K (2021) Reviews and self-selection bias with operational implications. Management Sci. 67(12):7472–7492.Link, Google Scholar
• Chen W, Wang Y, Yuan Y (2013) Combinatorial multi-armed bandit: General framework and applications. Dasgupta S, McAllester D, eds. Proc. 30th Internat. Conf. Machine Learn. (PMLR, Atlanta), 151–159.Google Scholar
• Chu LY, Nazerzadeh H, Zhang H (2020) Position ranking and auctions for online marketplaces. Management Sci. 66(8):3617–3634.Link, Google Scholar
• Crapis D, Ifrach B, Maglaras C, Scarsini M (2017) Monopoly pricing in the presence of social learning. Management Sci. 63(11):3586–3608.Link, Google Scholar
• Craswell N, Zoeter O, Taylor M, Ramsey B (2008) An experimental comparison of click position-bias models. Najork M, Broder A, eds. Proc. 2008 Internat. Conf. Web Search Data Mining (ACM, New York), 87–94.Google Scholar
• Davis JM, Gallego G, Topaloglu H (2014) Assortment optimization under variants of the nested logit model. Oper. Res. 62(2):250–273.Link, Google Scholar
• den Boer AV, Zwart B (2014) Simultaneously learning and optimizing using controlled variance pricing. Management Sci. 60(3):770–783.Link, Google Scholar
• Edelman B, Ostrovsky M, Schwarz M (2007) Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. Amer. Econom. Rev. 97(1):242–259.Crossref, Google Scholar
• Feldman P, Papanastasiou Y, Segev E (2019) Social learning and the design of new experience goods. Management Sci. 65(4):1502–1519.Link, Google Scholar
• Frazier P, Kempe D, Kleinberg J, Kleinberg R (2014) Incentivizing exploration. Babaioff M, Conitzer V, Easley D, eds. Proc. 15th ACM Conf. Econom. Comput. (ACM, New York), 5–22.Google Scholar
• Ghose A, Yang S (2009) An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management Sci. 55(10):1605–1622.Link, Google Scholar
• Ghose A, Goldfarb A, Han SP (2013) How is the mobile internet different? Search costs and local activities. Inform. Systems Res. 24(3):613–631.Link, Google Scholar
• Golrezaei N, Manshadi V, Schneider J, Sekar S (2021) Learning product rankings robust to fake users. Biró P, Chawla S, Echenique F, eds. Proc. 22nd ACM Conf. Econom. Comput. (ACM, New York), 560–561.Google Scholar
• He QC, Chen YJ (2017) Dynamic pricing of electronic products with consumer reviews. Omega 80(October):123–134.Google Scholar
• Ifrach B, Maglaras C, Scarsini M, Zseleva A (2019) Bayesian social learning from consumer reviews. Oper. Res. 67(5):1209–1221.Link, Google Scholar
• Kahneman D, Tversky A (2013) Prospect theory: An analysis of decision under risk. MacLean LC, Ziemba WT, eds. Handbook of the Fundamentals of Financial Decision Making: Part I (World Scientific, Singapore), 99–127.Crossref, Google Scholar
• Kakhbod A, Lanzani G, Xing H (2021) Heterogeneous learning in product markets. Preprint, submitted November 14, http://dx.doi.org/10.2139/ssrn.3961223.Google Scholar
• Kempe D, Mahdian M (2008) A cascade model for externalities in sponsored search. Papadimitriou C, Zhang S, eds. Proc. Internet Network Econom. 4th Internat. Workshop (Springer, Berlin), 585–596.Google Scholar
• Keskin NB, Zeevi A (2014) Dynamic pricing with an unknown demand model: Asymptotically optimal semi-myopic policies. Oper. Res. 62(5):1142–1167.Link, Google Scholar
• Kremer I, Mansour Y, Perry M (2014) Implementing the “wisdom of the crowd.” J. Political Econom. 122(5):988–1012.Crossref, Google Scholar
• L’Ecuyer P, Maillé P, Stier-Moses NE, Tuffin B (2017) Revenue-maximizing rankings for online platforms with quality-sensitive consumers. Oper. Res. 65(2):408–423.Link, Google Scholar
• Lerman K, Hogg T (2014) Leveraging position bias to improve peer recommendation. PLoS One 9(6):e98914.Crossref, Google Scholar
• Papanastasiou Y, Savva N (2017) Dynamic pricing in the presence of social learning and strategic consumers. Management Sci. 63(4):919–939.Link, Google Scholar
• Papanastasiou Y, Bimpikis K, Savva N (2018) Crowdsourcing exploration. Management Sci. 64(4):1727–1746.Link, Google Scholar
• Pixton C, Simchi-Levi D (2020) Network effects, customer reviews, and product proliferation in online durable goods markets. Preprint, submitted June 3, http://dx.doi.org/10.2139/ssrn.3593773.Google Scholar
• Rusmevichientong P, Shen ZJM, Shmoys DB (2010) Dynamic assortment optimization with a multinomial logit choice model and capacity constraint. Oper. Res. 58(6):1666–1680.Link, Google Scholar
• Sauré D, Zeevi A (2013) Optimal dynamic assortment planning with demand learning. Manufacturing Service Oper. Management 15(3):387–404.Link, Google Scholar
• Shin D, Zeevi A (2021) Product quality and information sharing in the presence of reviews. Preprint, submitted August 9, http://dx.doi.org/10.2139/ssrn.3886954.Google Scholar
• Shin D, Vaccari S, Zeevi A (2022) Dynamic pricing with online reviews. Management Sci., ePub ahead of print April 5, https://doi.org/10.1287/mnsc.2022.4387.Link, Google Scholar
• Stenzel A, Wolf C, Schmidt P (2020) Pricing for the stars: Dynamic pricing in the presence of rating systems. Biró P, Hartline JD, Ostrovsky M, Procaccia AD, eds. Proc. 21st ACM Conf. Econom. Comput. (ACM, New York), 273–274.Google Scholar
• Stigler GJ (1961) The economics of information. J. Political Econom. 69(3):213–225.Crossref, Google Scholar
• Talluri K, Van Ryzin G (2004) Revenue management under a general discrete choice model of consumer behavior. Management Sci. 50(1):15–33.Link, Google Scholar
• Varian HR (2009) Online ad auctions. Amer. Econom. Rev. 99(2):430–434.Crossref, Google Scholar
• Wang R, Sahin O (2018) The impact of consumer search cost on assortment planning and pricing. Management Sci. 64(8):3649–3666.Link, Google Scholar
• Yang N, Zhang R (2022) Dynamic pricing and inventory management in the presence of online reviews. Production Oper. Management 31(8):3180–3197.Crossref, Google Scholar
• Yu M, Debo L, Kapuscinski R (2015) Strategic waiting for consumer-generated quality information: Dynamic pricing of new experience goods. Management Sci. 62(2):410–435.Link, Google Scholar
• Zhao J (2021) Learning to optimize decisions in online service platforms. PhD thesis, Columbia University, New York.Google Scholar