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Pro-active multi-agent recommender system for travelers

机译：适用于旅行者的Pro-Active Multi-Agent推荐系统

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摘要

This paper presents a multi-agent recommender system in which agents collaborate with each other to facilitate in providing travel recommendations. A set of rules are organized to be used as knowledge-base that enables travel agents to act in an intelligent and pro-active way. The agents are also in charge of building and updating profiles of travelers. History of the travelers' selections is kept using a multidimensional rating approach. Maximum-likelihood probability and multi-attribute theory are used to get the recommendation ratings and store them for future recommendations. The effectiveness of the system was evaluated by a diverse set of users with a variety of scenarios. The overall results indicate that the system is capable of pro-actively providing the required types of services with a good degree of accuracy.
机译：本文介绍了一个多代理推荐系统，其中代理商互相协作，以方便提供旅行建议。组织了一组规则将用作知识库，使旅行代理能够以智能和积极的方式行事。该代理商也负责建设和更新旅行者的简档。旅行者选择的历史保存使用多维额定法。最大似然概率和多属性理论用于获得推荐评级并将其存储以供将来的建议。系统的有效性由具有各种场景的多种用户评估。总体结果表明该系统能够通过良好程度地主动提供所需类型的服务。

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