Years and Authors of Summarized Original Work
2004; Hajiaghayi, Kleinberg, Parkes
2008; Babaioff, Immorlica, Kempe, Kleinberg
2013; Bateni, Hajiaghayi, Zadimoghaddam
Problem Definition
The classic secretary problem, a prime example of stopping theory, has been studied extensively in the computer science literature. Consider the scenario where an employer is interested in hiring one secretary out of a pool of candidates. The difficulty is that, although the employer does not know the utility of a candidate before she is interviewed, the irrevocable hiring decision for each candidate has to be made right after the interview and prior to interviewing the subsequent candidates. The goal is nonetheless to pick the best candidate or maximize the probability of achieving this.
Optimization Angle
The above scenario is hopeless from an algorithmic point of view since an adversarial input makes it impossible to hire the best candidate. We can take either of two paths to make the problem...
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Babaioff M, Immorlica N, Kempe D, Kleinberg R (2008) Online auctions and generalized secretary problems. SIGecom Exch 7(2):1–11. doi:http://doi.acm.org/10.1145/1399589.1399596
Bateni M, Hajiaghayi MT, Zadimoghaddam M (2013) Submodular secretary problem and extensions. ACM Trans Algorithms 9(4):32
Dynkin EB (1963) The optimum choice of the instant for stopping a markov process. Sov Math Dokl 4:627–629
Feldman M, Naor J, Schwartz R (2011) Improved competitive ratios for submodular secretary problems (extended abstract). In: APPROX, Princeton, pp 218–229
Hajiaghayi MT, Kleinberg R, Parkes DC (2004) Adaptive limited-supply online auctions. In: EC, New York, pp 71–80
Kleinberg R (2005) A multiple-choice secretary algorithm with applications to online auctions. In: SODA, Vancouver, pp 630–631
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Bateni, M. (2016). Secretary Problems and Online Auctions. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_760
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