Authors:
Alexis Lazanas
;
Nikos Karacapilidis
and
Yiannis Pirovolakis
Affiliation:
Industrial Management and Information Systems Lab, MEAD, University of Patras, Greece
Keyword(s):
Recommendation techniques, recommender systems, transportation, web-based systems, intelligent agents.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
B2B, B2C and C2C
;
B2C/B2B Considerations
;
Business and Social Applications
;
Communication and Software Technologies and Architectures
;
e-Business
;
Enterprise Information Systems
;
Market-Spaces: Market Portals, Hubs, Auctions
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
Abstract:
Diverse recommendation techniques have been already proposed and encapsulated into several e-business systems aiming to perform a more accurate evaluation of the existing alternatives and accordingly augment the assistance provided to the users involved. Extending previous work, this paper focuses on the development of a recommendation module for transportation transactions purposes and its integration in a web-based platform. The module is built according to a hybrid recommendation technique, which combines the advantages of collaborative filtering and knowledge-based recommendations. The proposed technique and supporting module enable customers to consider in detail alternative transportation transactions satisfying their requests, as well as to evaluate such transactions after their completion.