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Performing Hybrid Recommendation in Intermodal Transportation – the FTMarket System’s Recommendation Module

Lazanas, Alexis (2009) Performing Hybrid Recommendation in Intermodal Transportation – the FTMarket System’s Recommendation Module. [Journal (Paginated)]

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Abstract

Diverse recommendation techniques have been already proposed and encapsulated into several e-business applications, aiming to perform a more accurate evaluation of the existing information and accordingly augment the assistance provided to the users involved. This paper reports on the development and integration of a recommendation module in an agent-based transportation transactions management system. The module is built according to a novel hybrid recommendation technique, which combines the advantages of collaborative filtering and knowledge-based approaches. The proposed technique and supporting module assist customers in considering in detail alternative transportation transactions that satisfy their requests, as well as in evaluating completed transactions. The related services are invoked through a software agent that constructs the appropriate knowledge rules and performs a synthesis of the recommendation policy.

Item Type:Journal (Paginated)
Keywords:Data mining, Knowledge Association Rules, Recommender systems, Intermodal Transportation
Subjects:Computer Science > Machine Learning
ID Code:6703
Deposited By:International Journal of Computer Science Issues, IJCSI
Deposited On:14 Nov 2009 11:32
Last Modified:11 Mar 2011 08:57

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