Designing sniping agents |
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| Authors: | Chuan-Hoo Tan Hock-Hai Teo En Xie Yuan Li |
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| Institution: | (1) Department of Information Systems, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong;(2) Department of Information Systems, National University of Singapore, Singapore, Singapore;(3) School of Management, Xi’an Jiaotong University, Xi’an, 710049, China |
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| Abstract: | Sniping agents are increasingly being deployed to assist bidders in acquiring items in online auctions. This paper reviews
the extant auction literature and proposes an overarching sniping agent design framework that could potentially increase the
commercial viability of snipping agents. For better alignment between the functions of sniping agents and the needs of human
bidders, we review existing literature based on three fundamentals: (1) knowledge about human bidder behavior, (2) awareness
of the product(s) desired by a bidder, and (3) an understanding of the research on bidding agents and auction design. The
output of this review is the explicit consideration of iterative combinatorial auction agent design, fuzzy set representation
of the bidder’s preferences and dynamic derivation of bidding strategies according to the progress of ongoing auctions. |
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| Keywords: | Online auctions Sniping agent Heuristics |
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