A Transaction Trade-Off Utility Function Approach for Predicting the End-Price of Online Auctions in IoT

Table 3

The main features and descriptions of dataset 1.

Feature name	Feature description
Price	End prices of auctions
StartingBid	Minimum transaction price of an auction
BidCount	Number of bids won in an auction
Title	Transaction title
QuantitySold	Successful sale number (0 or 1)
SellerRating	Seller’s rating on eBay
StartDate	Auction start date
EndDate	Auction end date
PositiveFeedbackPercent	Percentage of positive feedback received by seller (for all feedback)
BuyitNowPrice	Price for immediate purchase
HighBidderFeedbackRating	eBay rating of the highest-price bidder
IsHOF	The seller is or not a hall of fame player (0 or 1)
AvgPrice	Average price of a good in inventory
MedianPrice	Median price of a good in inventory
AuctionCount	Total number of auctions in inventory
SellerSaleToAveragePriceRatio	Proportion of auction goods price to average price
StartDayOfWeek	The beginning day of the auction in a week
EndDayOfWeek	The end day of the auction in a week
AuctionDuration	Auction duration days
StartingBidPercent	The ratio of the starting bidding price to the average transaction price
SellerClosePercent	The proportion of a seller’s successful auctions to all online auctions
ItemAuctionSellPercent	Percentage of successful auctions in all online auctions