A fast method for learning non-linear preferences online using anonymous negotiation data

D.J.A. Somefun, J.A. Poutré, La

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademic

5 Citaten (Scopus)

Samenvatting

In this paper, we consider the problem of a shop agent negotiating bilaterally with many customers about a bundle of goods or services together with a price. To facilitate the shop agent’s search for mutually beneficial alternative bundles, we develop a method for online learning customers’ preferences, while respecting their privacy. By introducing additional parameters, we represent customers’ highly nonlinear preferences as a linear model. We develop a method for learning the underlying stochastic process of these parameters online. As the conducted computer experiments show, the developed method has a number of advantages: it scales well, the acquired knowledge is robust towards changes in the shop’s pricing strategy, and it performs well even if customers behave strategically.
Originele taal-2Engels
TitelSelected and revised papers of the Agent mediated electronic commerce: automated negotiation and strategy design for electronic markets (AAMAS 2006 Workshop, TADA/AMEC 2006) 9 May 2006, Hakodate, Japan
RedacteurenM. Fasli, O. Shehory
Plaats van productieBerlin
UitgeverijSpringer
Pagina's118-131
ISBN van geprinte versie978-3-540-72501-5
DOI's
StatusGepubliceerd - 2007
Evenementconference; AAMAS 2006 Workshop, TADA/AMEC 2006, Hakodate, Japan; 2006-05-09; 2006-05-09 -
Duur: 9 mei 20069 mei 2006

Publicatie series

NaamLecture Notes in Computer Science
Volume4452
ISSN van geprinte versie0302-9743

Congres

Congresconference; AAMAS 2006 Workshop, TADA/AMEC 2006, Hakodate, Japan; 2006-05-09; 2006-05-09
Periode9/05/069/05/06
AnderAAMAS 2006 Workshop, TADA/AMEC 2006, Hakodate, Japan

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