Optimizing Expected Utility in a Multinomial Logit Model with Position Bias and Social Influence
作者： Gerardo Berbeglia , Pascal Van Hentenryck , Manuel Cebrián , Andrés Abeliuk
DOI: 10.1007/S10288-015-0302-Y
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摘要: Motivated by applications in retail, online advertising, and cultural markets, this paper studies how to find the optimal assortment positioning of products subject a capacity constraint. We prove that can be found polynomial time for multinomial logit model capturing utilities, position bias, social influence. Moreover, dynamic market, we show policy applies leverages influence outperforms expectation any not using
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