Learning within-session budgets from browsing trajectories
RecSys '18: Twelfth ACM Conference on Recommender Systems Vancouver British Columbia Canada October, 2018, pp. 432-436, 2018.
Building price- and budget-aware recommender systems is critical in settings where one wishes to produce recommendations that balance users' preferences (what they like) with a model of purchase likelihood (what they will buy). A trivial solution consists of learning global budget terms for each user based on their past expenditure. To mo...More
Full Text (Upload PDF)
PPT (Upload PPT)