Compromise matching in P2P e-marketplaces : concept, algorithm and use case

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TypeBook Chapter
Proceedings titleMulti-disciplinary Trends in Artificial Intelligence : 5th International Workshop, MIWAI 2011, Hyderabad, India, December 7-9, 2011. Proceedings
Series titleLecture Notes In Computer Science; Volume 7080
Conference5th Multi-disciplinary International Workshop On Artifical Intelligence (MIWAI 2011), December 7-9, 2011, Hyderabad, India
Pages384394; # of pages: 11
SubjectMatchmaking in e-marketplaces; soft constraints; compromise match
AbstractA basic component of automated matchmaking is the automatic generation of a ranked list of profiles matching with the profiles of a given participant. Identifying and ranking of matching profiles among thousands of candidate profiles is a challenging task. In order to determine the degree of matching between two profiles, corresponding pairs of constraints are compared and aggregated to the overall similarity between the two profiles. This paper describes the structure and algorithm of a proposed match-making system with a focus on the central notion of compromise match. A compromise match is called for when either one or both constraints within a pair are soft and moreover their values do not match exactly. Two important aspects of compromise matching are discussed, namely compromise count factor, compromise count reduction factor; furthermore their effect on ranking is described. A use case with a sample set of home rental profiles from an existing e-marketplace is employed for demonstration.
Publication date
PublisherSpringer Berlin Heidelberg
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedYes
NPARC number19649696
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Record identifier829f2634-0b9d-47b4-a02a-2ca57f86af85
Record created2012-03-20
Record modified2016-06-21
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