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Performing Hybrid Recommendation in Intermodal Transportation - the FTMarket System's Recommendation Module

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Author(s): Alexis Lazanas

Journal: International Journal of Computer Science Issues
ISSN 1694-0784

Volume: 3;
Issue: 1;
Start page: 24;
Date: 2009;
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Keywords: Data mining | Knowledge Association Rules | Recommender systems | Intermodal Transportation | IJCSI

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.

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Tangokurs Rapperswil-Jona

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