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Found 5 papers, 4 papers with code
Bounding Consideration Probabilities in Consider-Then-Choose Ranking Models
We consider a natural extension of consider-then-choose models to a top-$k$ ranking setting, where we assume rankings are constructed according to a Plackett-Luce model after sampling a consideration set.
Graph-Based Methods for Discrete Choice
We show that incorporating social network structure can improve the predictions of the standard econometric choice model, the multinomial logit.
Choice Set Confounding in Discrete Choice
Standard methods in preference learning involve estimating the parameters of discrete choice models from data of selections (choices) made by individuals from a discrete set of alternatives (the choice set).
Learning Interpretable Feature Context Effects in Discrete Choice
Using our models, we identify new context effects in widely used choice datasets and provide the first analysis of choice set context effects in social network growth.
Choice Set Optimization Under Discrete Choice Models of Group Decisions
The way that people make choices or exhibit preferences can be strongly affected by the set of available alternatives, often called the choice set.
