1) The document discusses a price sensitive recommender system that models individual consumers' willingness to pay (WTP) for products based on their transaction history. 2) An experiment using eBay transaction data found that incorporating a seller's reputation into the personal WTP model improved the system's accuracy at predicting purchase prices. 3) When recommendations were personalized based on both personal WTP models and a product's seller, the system more accurately predicted which products a consumer would actually purchase, compared to methods that did not consider price or seller factors.