Hi, Hope everyone is doing great!
I am thinking about modify the algorithm to secretary problem and apply it to get airline purchase. Also, I know one area where price prediction has been more extensive is auctions. Sellers can benefit from algorithms that predict the final selling price of an item based on similar past auctions. Ghani [2005] put together three types of algorithms to approach this problem: regression, decision trees, and neural networks. Right now, I think secretary problem is more akin to airline ticket purchase problem. So I am going to work on the algorithm to secretary problem for my airline ticket purchase. Any body has any suggestions or ideas or advice on my ideas, please? Specifically, I want to know listen to your experts' opinion on the advantage/ disadvantage of the algorithm to the secretary problem, the regression, decision trees, and neural networks algorithm for auction. I right now just have a very general idea of the advantage / disadvantage. It will be wonderful if I can get some advice here. Finally, I cannot think of a theoretical way in explaining about why secretary problem is more akin to airline ticket purchase problem. Any one has any idea, please? I just think it is intuitively. Thanks. Best regards, Sarah --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Algorithm Geeks" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/algogeeks -~----------~----~----~----~------~----~------~--~---
