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Context-Aware Places of Interest Recommendations for Mobile Users

机译:针对移动用户的上下文相关景点推荐

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Recommender Systems (RSs) are software tools and techniques providing suggestions for items, such as movies, CDs, or travels, to be of use to a user. In general, a recommendation can be more compelling and useful if the context of the user is known. For instance, in a travel recommender, the season of the travel, or the group composition, or the motivation of the travel are all important contextual factors that, as a traveler normally does, should be taken into account by a system to generate more relevant recommendations. In this paper we show how a context-aware mobile recommender system for places of interest (POIs) selection can generate more effective recommendations than those produced by a non context-aware version, i.e., those normally provided to the city visitors by the local tourist office. Here we mainly focus on the HCI solutions and in particular in the explanation of the recommendations that are perceived by the user as an important element of the graphical interface.
机译:推荐系统(RS)是一种软件工具和技术,可为用户提供有关电影,CD或旅行等物品的建议。通常,如果知道用户的上下文,则推荐会更具说服力和有用性。例如,在旅行推荐者中,旅行的季节,团队的组成或旅行的动机都是重要的背景因素,就像旅行者通常所做的那样,系统应该考虑这些因素以产生更相关的信息建议。在本文中,我们展示了一个针对景点(POI)选择的上下文感知移动推荐系统如何比非上下文感知版本(即通常由本地游客提供给城市游客的建议)产生更有效的推荐办公室。在这里,我们主要关注HCI解决方案,尤其是在解释建议时,这些建议被用户视为图形界面的重要元素。

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