Shopping Center Tracking and Recommendation Systems [chapter]

Ricardo Anacleto, Nuno Luz, Ana Almeida, Lino Figueiredo, Paulo Novais
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/asgn5dmr2rfljkmlazllkmpx7i" style="color: black;">Advances in Intelligent and Soft Computing</a> </i> &nbsp;
Shopping centers present a rich and heterogeneous environment, where IT systems can be implemented in order to support the needs of its actors. However, due to the environment complexity, several feasibility issues emerge when designing both the logical and physical architecture of such systems. Additionally, the system must be able to cope with the individual needs of each actor, and provide services that are easily adopted by them, taking into account several sociological and economical
more &raquo; ... s. In this sense, we present an overview of current support systems for shopping center environments. From this overview, a high-level model of the domain (involving actors and services) is described along with challenges and possible features in the context of current Semantic Web, mobile device and sensor technologies.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-19644-7_32">doi:10.1007/978-3-642-19644-7_32</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/softcomp/AnacletoLAFN11.html">dblp:conf/softcomp/AnacletoLAFN11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ocriqrqahvattcqba7un6ytq7u">fatcat:ocriqrqahvattcqba7un6ytq7u</a> </span>
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