151  Factors influencing sale and bid price of sport-trained horses and ponies sold at online auctions

2021 ◽  
Vol 100 ◽  
pp. 103614
Author(s):  
M.B. Ashburn ◽  
D.R. Rostad ◽  
S.C. Main ◽  
J.M. Thompson ◽  
M.L. Kibler ◽  
...  
Keyword(s):  
Online Auctions ◽  
Bid Price

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

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaohui Li ◽  
Hongbin Dong
Keyword(s):  
Social Welfare ◽  
Utility Function ◽  
Large Scale ◽  
Incentive Mechanism ◽  
Online Auctions ◽  
Prediction Algorithm ◽  
Online Auction ◽  
Trade Off ◽  
Bid Price ◽  
Auction Mechanisms

To stimulate large-scale users to participate in the big data construction of IoT (internet of things), auction mechanisms based on game theory are used to select participants and calculate the corresponding reward in the process of crowdsensing data collection from IoT. In online auctions, bidders bid many times and increase their bid price. All the bidders want to maximize their utility in auctions. An effective incentive mechanism can maximize social welfare in online auctions. It is complicated for auction platforms to calculate social welfare and the utility of each bidder’s bidding items in online auctions. In this paper, a transaction trade-off utility incentive mechanism is introduced. Based on the transaction trade-off utility incentive mechanism, it can make the forecasting process consistent with bidding behaviors. Furthermore, an end-price dynamic forecasting agent is proposed for predicting end prices of online auctions. The agent develops a novel trade-off methodology for classifying online auctions by using the transaction trade-off utility function to measure the distance of auction items in KNN. Then, it predicts the end prices of online auctions by regression. The experimental results demonstrate that an online auction process considering the transaction utility is more consistent with the behaviors of bidders, and the proposed prediction algorithm can obtain higher prediction accuracy.

Empirical inference for online auctions

2011 ◽  
Author(s):  
Guojie Wang
Keyword(s):  
Online Auctions

Sistem Informasi Pelelangan Online Pada PT. Balai Lelang Bandung

2018 ◽  
Vol 8 (2) ◽  
pp. 95-100
Author(s):  
Novrini Hasti ◽  
Irwin Tenrysau
Keyword(s):  
System Development ◽  
Unified Modeling Language ◽  
Online Auctions ◽  
Design Tool ◽  
System Model ◽  
Unified Modeling ◽  
Registration Process ◽  
Approach Method ◽  
Index Terms ◽  
A Company

PT.Balai Lelang Bandung is a company in Bandung which is located at Ruko Maple Kav. G, Jl. Gn. Batu No. 201, Sukaraja, Cicendo, Bandung - West Java, provides services such as pre-auction, auction, and post auction. The registration process of tender participants is quite convoluted and takes a lot of time in the registration process either in terms of the auction participants or the auctioneer itself. The auction process is very time-consuming bidders themselves, where in conducting the auction, participants are required to attend directly to the auction so many prospective bidders who discontinue their intention to follow the auction process. In this design approach method is prototypemethod, while system development method using Unified Modeling Language (UML). System design tool used to describe the system model such as usecase, scenario diagram, sequence diagram.  Index Terms - Information System, Online Auctions, Prototype, UML  

Seller Search and Market Outcomes in Online Auctions

2010 ◽  
Author(s):  
Jason N. Kuruzovich ◽  
Siva Viswanathan ◽  
Ritu Agarwal
Keyword(s):  
Online Auctions ◽  
Market Outcomes

Using Transaction Data for the Design of Sequential, Multi-unit, Online Auctions

2000 ◽  
Author(s):  
Edieal J. Pinker ◽  
Abraham Seidmann ◽  
Yaniv Vakrat
Keyword(s):  
Online Auctions ◽  
Transaction Data

Buy-Out Prices in Online Auctions: Multi-Unit Demand

2003 ◽  
Author(s):  
René Kirkegaard ◽  
Per Baltzer Overgaard
Keyword(s):  
Online Auctions ◽  
Unit Demand

Modeling Bid Arrivals in Online Auctions

2004 ◽  
Author(s):  
Galit Shmueli ◽  
Ralph P. Russo ◽  
Wolfgang Jank
Keyword(s):  
Online Auctions

Online Auctions and Multi-scale Online Learning

2017 ◽  
Author(s):  
Sebastien Bubeck ◽  
Nikhil R. Devanur ◽  
Zhiyi Huang ◽  
Rad Niazadeh
Keyword(s):  
Online Learning ◽  
Online Auctions ◽  
Multi Scale
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