面向数字故事叙述的情境感知推荐系统

Fabio Clarizia, F. Colace, Marco Lombardi, F. Pascale
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引用次数: 12

摘要

如今,查找信息并使其可用是一项非常复杂的挑战。一方面,海量的可用数据要求有很强的信息管理能力;另一方面,理解用户的真正需求需要能够提供上下文信息的复杂系统。意大利的经济以旅游业为基础,这要归功于每天有数百万人参观其文化遗产。本文的目标是创建一个推荐系统,根据用户所处的环境为其提供量身定制的故事,这要归功于一个可以提供上下文信息的智能应用程序。利用聊天机器人,该系统还提供上下文感知数据,以提高游客体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Context Aware Recommender System for Digital Storytelling
Finding the information and making it available today is a very complex challenge. On the one hand, the large amount of available data requires a great ability to manage information; on the other hand, understanding the real needs of users requires complex systems that can provide contextual information. Italy's economy is based on tourism, thanks to its cultural heritage visited by millions of people every day. The goal of this paper is to create a recommender system to furnish a tailor-made story for the user based on the context in which it is located, thanks to a smart app that can provide contextual information. Using a Chatbot, this system also provides a context awareness data in order to enhance the tourist experience.
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