Cost-Based attraction recommendation for tour operators under stochastic demand

Omega(2021)

Cited 8|Views19
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Abstract
•We propose the cost-based attraction recommendation problem for tour operators under stochastic tourist demand.•We propose a two-stage stochastic optimization model that involves joint chance constraint to model the problem.•Experimental results demonstrate that the proposed method is robust and effective in equilibrizing the total cost and service level of the tour operator.•This work inspires a new direction for tour operators to optimize their travel recommendation in business practice.
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Key words
Cost-based recommendation,Stochastic programming,Attraction recommendation,Service level
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