A Partially Ranked Choice Model for Large-Scale Data-Driven Assortment Optimization

Published Online:https://doi.org/10.1287/ijoo.2019.0037

References

  • Aouad A, Farias V, Levi R (2015) Assortment optimization under consider-then-choose choice models. Preprint, submitted June 15, http://dx.doi.org/10.2139/ssrn.2618823.Google Scholar
  • Aouad A, Farias V, Levi R, Segev D (2018) The approximability of assortment optimization under ranking preferences. Oper. Res. 66(6):1661–1669.LinkGoogle Scholar
  • Arrow KJ (1951) Social Choice and Individual Values (John Wiley & Sons, Hoboken, NJ).Google Scholar
  • Belloni A, Freund R, Selove M, Simester D (2008) Optimizing product line designs: Efficient methods and comparisons. Management Sci. 54(9):1544–1552.LinkGoogle Scholar
  • Ben-Akiva ME (1973) Structure of travel demand models. Unpublished doctoral dissertation, Massachusetts Institute of Technology, Cambridge.Google Scholar
  • Berbeglia G, Joret G (2020) Assortment optimisation under a general discrete choice model: A tight analysis of revenue-ordered assortments. Algorithmica 82:681–720.Google Scholar
  • Bertsimas D, Mišic V (2016) Data-driven assortment optimization. Technical report, Massachusetts Institute of Technology, Cambridge.Google Scholar
  • Bertsimas D, Mišic V (2019) Exact first-choice product line optimization. Oper. Res. 67(3):651–670.Google Scholar
  • Bront JM, Méndez-Díaz I, Vulcano G (2009) A column generation algorithm for choice-based network revenue management. Oper. Res. 57(3):769–784.LinkGoogle Scholar
  • Farias VF, Jagabathula S, Shah D (2013) A nonparametric approach to modeling choice with limited data. Management Sci. 59(2):305–322.LinkGoogle Scholar
  • Griva I, Nash SG, Sofer A (2009) Linear and Nonlinear Optimization (SIAM, Philadelphia).Google Scholar
  • Haensel A, Koole G (2011) Estimating unconstrained demand rate functions using customer choice sets. J. Revenue Pricing Management 10(5):438–454.Google Scholar
  • Ho-Nguyen N, Kilinc-Karzan F (2017) Dynamic data-driven estimation of non-parametric choice models. Preprint, submitted February 19, https://arxiv.org/abs/1702.05702.Google Scholar
  • Honhon D, Jonnalagedda S, Pan XA (2012) Optimal algorithms for assortment selection under ranking-based consumer choice models. Manufacturing Service Oper. Management 14(2):279–289.LinkGoogle Scholar
  • Huang Z (1997) Clustering large data sets with mixed numeric and categorical values. 1st Pacific-Asia Conf. Knowledge Discovery Data Mining, (Singapore) 21–34.Google Scholar
  • Jagabathula S (2011) Nonparametric choice modeling: Applications to operations management. Unpublished doctoral dissertation, Massachusetts Institute of Technology, Cambridge.Google Scholar
  • Jagabathula S (2014) Assortment optimization under general choice. Preprint, submitted October 21, http://dx.doi.org/10.2139/ssrn.2512831.Google Scholar
  • Jagabathula S, Rusmevichientong P (2016) A nonparametric joint assortment and price choice model. Management Sci. 63(9):3128–3145.LinkGoogle Scholar
  • Jagabathula S, Rusmevichientong P (2019) The limit of rationality in choice modeling: Formulation, computation, and implications. Management Sci. 65(5):2196–2215.Google Scholar
  • Jagabathula S, Vulcano G (2018) A partial-order-based model to estimate individual preferences using panel data. Management Sci. 64(4):1609–1628.LinkGoogle Scholar
  • JDA Labs (2017) JDA Labs. Accessed September 7, 2017, https://jda.com/innovation/jda-labs.Google Scholar
  • Kök AG, Fisher ML, Vaidyanathan R (2008) Assortment planning: Review of literature and industry practice. Narendra A, Smith SA, eds. Retail Supply Chain Management (Springer, Boston), 99–153.Google Scholar
  • Lebanon G, Mao Y (2008) Non-parametric modeling of partially ranked data. J. Machine Learning Res. 9:2401–2429.Google Scholar
  • Mahajan S, Van Ryzin GJ (1999) Retail inventories and consumer choice. Sridhar T, Ganeshan R, Magazine M, eds. Quantitative Models for Supply Chain Management (Springer, Boston), 491–551.Google Scholar
  • McBride RD, Zufryden FS (1988) An integer programming approach to the optimal product line selection problem. Marketing Sci. 7(2):126–140.LinkGoogle Scholar
  • Palmer H (2017). Large-scale assortment optimization. Unpublished master’s thesis, Polytechnique Montréal, Montreal.Google Scholar
  • Van Ryzin G, Vulcano G (2015) A market discovery algorithm to estimate a general class of nonparametric choice models. Management Sci. 61(2):281–300.LinkGoogle Scholar
  • Vulcano G, Van Ryzin G (2017) Technical note - An expectation-maximization method to estimate a rank-based choice model of demand. Oper. Res. 65(2):396–407.LinkGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.