By Jordan Berg, Carleton Coffrin, Amy Greenwald (auth.), Esther David, Kate Larson, Alex Rogers, Onn Shehory, Sebastian Stein (eds.)
This quantity comprises nine completely refereed and revised papers detailing contemporary advances in study on designing buying and selling brokers and mechanisms for agent-mediated e-commerce. They have been initially offered on the twelfth foreign Workshop on Agent-Mediated digital trade (AMEC 2010), collocated with AAMAS 2010 in Toronto, Canada, or the 2010 Workshop on buying and selling Agent layout and research (TADA 2010), collocated with EC 2010 in Cambridge, MA, USA.
The papers learn rising themes akin to advert auctions and provide chains, or the interactions among competing markets, and current novel algorithms and rigorous theoretical effects. numerous of them overview their effects utilizing actual information from huge e-commerce websites or from experiments with human traders.
Read or Download Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets: AMEC 2010, Toronto, ON, Canada, May 10, 2010, and TADA 2010, Cambridge, MA, USA, June 7, 2010 Revised Selected Papers PDF
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Additional info for Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets: AMEC 2010, Toronto, ON, Canada, May 10, 2010, and TADA 2010, Cambridge, MA, USA, June 7, 2010 Revised Selected Papers
Although the performance measures employed in our study are proper scoring functions, conveying their implications using business-friendly terminologies will advance the importance of this study and in general the problem of modeling seller behavior. References 1. : Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17, 734–749 (2005) 2. : Buy it now: A hybrid internet market institution.
We propose to evaluate an action based on the change in sale-through rate, the ratio of successful sales over all listings, and the seller’s average revenue per listing. Given that listings created at time t may affect sales of formerly created listings that are still active, it is non-trivial to compute these measures of effectiveness. We decided to include items sold within 2 weeks from time t in the calculation of a ¯t ’s effectiveness, while including items sold after 2 weeks from their original listing date in the computation of a ¯t ’s effectiveness, where t is the time interval where they are sold.
Second, traders are constantly moving between markets, which means that the equilibrium point of all the markets is constantly changing (recall the transaction prices of Fig. 2 (b)). We know from  that zip takes several trading days to identify market equilibrium, and since this is changing every day, zip is always Table 3. The global eﬃciencies of sets of market with diﬀerent connection topologies from left to right, chain, ring, star and fully connected networks. The table gives results for markets using both zi-c and zip traders, and for both cda and ch markets.