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Dynamically integrated regression model for online auction data

Science China Mathematics 2022年第7期65卷 1531-1552页

作者： Mengying You Huazhen Lin Hua Liang Center of Statistical Research School of StatisticsSouthwestern University of Finance and EconomicsChengdu 611130China Department of Statistics George Washington UniversityWashingtonDC 20052USA

We propose a dynamically integrated regression model to predict the price of online auctions,including the final *** from existing models,the proposed method uses not only the historical price but also the information from bidding ***,the prediction accuracy is improved compared with the existing *** estimation method based on B-spline approximation is proposed for the estimation and the inference of parameters and nonparametric functions in this *** minimax rate of convergence for the prediction risk and large-sample results including the consistency and the asymptotic normality are *** studies verify the finite sample performance and the appealing prediction accuracy and ***,when we apply our method to a 7-day auction of iPhone 6s during December 2015 and March 2016,the proposed method predicts the ending price with a much smaller error than the existing models.

关键词： B-spline dynamic forecasting model functional linear regression model minimax rate online auction

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Research on Items Suitable for online auction

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Journal of Electronic Science and Technology of China 2004年第3期2卷 12-17页

作者： LUO Zhanghua, LIU Lu, WU Lihua (School of Economics & Management, BeiHang University Beijing 100083 China) School of Economics & Management BeiHang University Beijing 100083 China

Based on the classification to the attribute information of auctioned commodity, the valuation signal of auctioned commodity is categorized into two groups: codable valuation signal and un-codable valuation signal. A valuation signal model is developed and used to reason under the environment of common valuation auction. The results show that the value of commodity auctioned online tends to be lower and the commodity with bigger factor that can be described online is more suitable for online auction.

关键词： online auction valuation signal common valuation

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A K-means Clustering Based Algorithm for Shill Bidding Recognition in online auction

A K-means Clustering Based Algorithm for Shill Bidding Recog...

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第24届中国控制与决策会议

作者： Bin Lei 1 , Huichao Zhang 1 , Huiyu Chen 1 , Lili Liu 1 , Dingwei Wang 1 1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China

A new method based on k-means clustering is proposed for the shill bidding detection in online auction. Through analyzing the behavioral characteristics of buyers, the proposed method extracts and quantifies four characteristics for every buyer, that is to say each buyer will be represented by a vector of four elements. Then all buyers are divided into two categories, i.e., shill bidding buyers and general buyers by the proposed k-means clustering based algorithm. An example that collects actual data of an online auction from one online store and then analyzes the data with SPSS is given to show that two types of buyers differ significantly on the four characteristics. The results illustrate that this new method is effective and suitable to be generally used.

关键词： online auction Shill bidding identification Character extraction K-means clustering

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Decision Making Approaches for online auction with a Permanent Buyout Option

Decision Making Approaches for Online Auction with a Permane...

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第30届中国控制与决策会议

作者： Linlin An Yonggang Li Xiangpei Hu Faculty of Management and Economics Dalian University of Technology

In this paper we consider a two-bidder English internet auction with permanent buyout option. We propose a new model based on focus points to illustrate the decision making procedure of the seller and bidders. Different people are described by different types of focus points. Under each type of focus points, we obtain the optimal strategy of the bidders during an online auction with buyout price, we state the necessity of providing buyout option and suggest the buyout price for the seller to increase revenues. It is a new method for solving online auctions problem which fits the real decision procedure of human being intuitively.

关键词： online auction Focus points Permanent Buyout Option One-Shot Decision

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Multi-Agent Negotiation System in online auction

Multi-Agent Negotiation System in Online Auction

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2010 Second International Conference on Communication Systems, Networks and Applications (ICCSNA 2010)

作者： Liang ZHANG School of Economic Tianjin Polytechnic Univ.Tianjin China School of Management Hebei Univ.of Technology Tianjin China Na LI Electronic and Information Engineering Dept.Tianjin Light Industry Vocational Technical College Tianjin China

online auction is becoming more and more popular in electronic commerce （EC）.It has become the mainstream trading methods in consumer to consumer （C2C）,such as *** steady collaboration field and common concept of exchange may be formed in the cooperation of the Multi-Agent system（MAS）,then the agents will have so much common knowledge in order to complete the *** member of MAS has both cooperation and *** on the analysis of the cooperation and competition of the participators in the online auction,the concept of overtime and history information is *** existing incomplete information,the efficiency of the auction is low without consider the history *** paper put forward a MAS flow frame and negotiation algorithms that make the bidders of the auction participate in the negotiation honestly and *** the efficiency and transparency among the participators have been enhanced.

关键词： multi-agent system online auction negotiation

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Multi-Dimensional Customer Data Analysis in online auctions

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Wuhan University Journal of Natural Sciences 2007年第5期12卷 793-798页

作者： LAO Guoling XIONG Kuan QIN Zheng School of Information Management and Engineering Shanghai University of Finance and Economics Shanghai 200433 China

In this paper, we designed a customer-centered data warehouse system with five subjects： listing, bidding, transaction, accounts, and customer contact based on the business process of online auction companies. For each subject, we analyzed its fact indexes and dimensions. Then take transaction subject as example, analyzed the data warehouse model in detail, and got the multi-dimensional analysis structure of transaction subject. At last, using data mining to do customer segmentation, we divided customers into four types： impulse customer, prudent customer, potential customer, and ordinary customer. By the result of multi-dimensional customer data analysis, online auction companies can do more target marketing and increase customer loyalty.

关键词： online auction data warehouse online analytic process (OLAP) data mining E-commerce

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集体声誉、可置信承诺与契约执行

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贸易经济 2009年第11期

作者：吴德胜李维安

网上拍卖中存在着比较严重的囚徒困境问题，而电子商务方面的法律也不是很完善，在法律不完善的环境下，卖方和拍卖网站建立了商盟等制度来增进买卖双方之间的信任。商盟以其集体声誉作为抵押向买家承诺商盟成员不会欺骗卖家；如果商盟... 详细信息

网上拍卖中存在着比较严重的囚徒困境问题，而电子商务方面的法律也不是很完善，在法律不完善的环境下，卖方和拍卖网站建立了商盟等制度来增进买卖双方之间的信任。商盟以其集体声誉作为抵押向买家承诺商盟成员不会欺骗卖家；如果商盟成员有欺骗行为，商盟会对成员进行处罚。商盟的存在增强了买家可以实施的惩罚力度，加强了声誉机制的作用。本文从而说明了在公共秩序缺失的情况下，私人部门自发地设计制度来约束自己的行为，提供可置信承诺，从而保证了契约执行；私人秩序在一定程度上可以起到替代公共秩序的作用。

关键词：集体声誉可置信承诺网上拍卖商盟 online auction Collective Reputation Credible Commitment Coalition

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