MARST: Multi-Agent Recommender System for e-Tourism Using Reputation Based Collaborative Filtering

摘要: This paper presents a Multi-Agent Recommender system for e-Tourism (MARST) recommending tourism services to the users. uses Reputation based Collaborative Filtering (RbCF) algorithm that augments reputation existing approach generating relevant recommendations and handle cold-start new user problem in domain. The structure of tourist product is more complex than book or movie hence profile modeling these systems much harder most other applications domains like books movies. Moreover frequency activities rating domain also smaller domains. increases complexity designing development Systems An attempt has been made this generate using collaborative filtering. Most focus on one service at time, whereas proposed incorporates three (hotels, places visit restaurants) single place ease searching information only. prototype MARST designed developed various JAVA technologies its performance was evaluated precision, recall F1 metrics.