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- W2038433298 abstract "Recommender systems, deployed on the web and in mobile devices, help users in finding services and products that are addressing their needs, based on their profile. On the other hand, such systems help also organizations in promoting their products or services to a targeted market. Users in mobility in smart urban spaces are surrounded with products and services, such as mobile device applications. In this paper, we are presenting the result of a survey, where participants had to give their opinions on recommendation modalities in several scenarios of context-aware service recommendation in urban environments. These results are followed by an analysis and a discussion." @default.
- W2038433298 created "2016-06-24" @default.
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- W2038433298 date "2013-01-01" @default.
- W2038433298 modified "2023-10-01" @default.
- W2038433298 title "Analysis of a context-aware recommender system model for smart urban environment" @default.
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- W2038433298 doi "https://doi.org/10.1145/2536853.2536931" @default.
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