Titlebook: Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Marke; AMEC 2011, Taipei, T Esther David,Val

搏斗

Improving Prediction in TAC SCM by Integrating Multivariate and Temporal Aspects via PLS Regression to leverage information contained in the movements of all variables in recent observations. This improved data extraction is then used with a common multivariate regression technique: Partial Least Squares (PLS) regression. We experimentally validate this combined data extraction and modeling with

高興一回

羅盤

魯莽

aviator

Dealing with Trust and Reputation in Unreliable Multi-agent Trading Environments, to achieve their individual goals. Numerous research efforts exist, attempting to define protocols, rules and interfaces for agents to abide by and ensure trustworthy exchange of information. Auction environments and e-commerce platforms are such paradigms, where trust and reputation are vital fact

無能力

Analysis of Stable Prices in Non-Decreasing Sponsored Search Auction,earch engine provider (SEP). In this paper, we propose non-decreasing Sponsored Search Auction (NDSSA) to guarantee SEP’s revenue. Each advertiser’s bid increment is restricted by minimum increase price (MIP) in NDSSA. The MIP determination strategy influences bid convergence speed and SEP’s revenue

cushion

Acceptance Strategies for Maximizing Agent Profits in Online Scheduling,lection decision with little knowledge about future jobs; the goal is to maximize the profit. We study this online decision problem of acceptance of unit length jobs with time constraints, which involves online scheduling. We present theoretically optimal acceptance strategies for a fundamental case

Irritate

LATE

https://doi.org/10.1007/978-3-030-63197-0te are able to reproduce the long memory phenomena. We demonstrate that a model which incorporates contrarian trading strategies results in more dynamic behaviour in steady state, and hence is able to produce more realistic results.

高原

https://doi.org/10.1007/978-3-030-63197-0cumulated user data to augment the KB weights through item based and collaborative elements. This paper details the algorithms used to create the hybrid recommender, and details its initial pilot in recommending alternative products in an online shopping environment.