Title :
Online auctioning and recommendations: The eBidLand platform
Author :
Constantinov, Calin ; Mocanu, Andrei ; Popescu, Elvira
Author_Institution :
Univ. of Craiova, Craiova, Romania
Abstract :
Online auctions are marketplaces with dynamic pricing that bring individual buyers and sellers together; the participants bid according to a fixed protocol depending on the specific auction type. Today there are many online auction systems available, accounting for a large part of the overall ecommerce. However, most of them implement only one auction type; in this paper we introduce a new platform, called eBidLand, which offers the seller the possibility to choose between two auction types: a soft-close version of the English auction (to prevent auction sniping) and a Dutch auction. eBidLand is also enhanced with a trust and reputation system, as well as a robust recommendation system based on collaborative filtering. Usability, simplicity and intuitiveness, as well as low response times were the guidelines of the design process. An overview of the eBidLand principles, architecture and functionalities is presented in the paper.
Keywords :
collaborative filtering; electronic commerce; recommender systems; security of data; Dutch auction; English auction; auction sniping prevention; collaborative filtering; dynamic pricing; eBidLand platform; ecommerce; intuitiveness; online auctioning; reputation system; robust recommendation system; simplicity; trust system; usability; Collaboration; Educational institutions; History; Recommender systems; Time factors; Usability;
Conference_Titel :
System Theory, Control and Computing (ICSTCC), 2012 16th International Conference on
Conference_Location :
Sinaia
Print_ISBN :
978-1-4673-4534-7
