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

TL;DR

This paper introduces a hybrid recommendation module for intermodal transportation systems that combines collaborative filtering and knowledge-based methods to improve transaction evaluation and customer assistance.

Contribution

It presents a novel hybrid recommendation technique integrated into an agent-based transportation management system, enhancing decision support for users.

Findings

Effective in suggesting transportation options matching user requests

Improves evaluation of completed transactions

Utilizes software agents for dynamic knowledge rule construction

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.