Range Similarity and Satisfaction Measures for Buyers and Sellers in e-Marketplaces

Download
  1. (PDF, 378 KB)
AuthorSearch for: ; Search for: ; Search for: ; Search for: ; Search for:
TypeArticle
ConferenceThe Journal of Intelligent Systems, December 2007.
VolumeVolume 17, Numbers 1-4
Subjectprice; similarity; satisfaction; buyer; seller; semantic matching
AbstractPrice is the omnipresent factor in decision making of buyers and sellers when trading products in real and virtual marketplaces. However, since a fixed price can easily lead to unsuccessful negotiations, market players in practice often have price ranges in mind, which reflect possible negotiation concessions when finding potential buyer-seller matches. In this paper, we propose a price-range similarity measure that computes price-range overlaps based on buyers' maximum and sellers' minimum prices. We also propose two measures for computing a notion of satisfaction for buyers and sellers that is additionally based on their published prices. Our price-range similarity measure and the measures for satisfaction provide ranked seller/buyer lists for buyers, sellers, and the match-maker in an e-marketplace. These measures extend our earlier similarity algorithm towards a priced product/service compatibility measure for match-making between buyers and sellers.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number50343
NPARC number5765098
Export citationExport as RIS
Report a correctionReport a correction
Record identifier492f62cc-e2ed-439d-a6e6-51d406d0debf
Record created2009-03-29
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)