Collaborative Filtering Based Route Recommendation for Assisting Pedestrian Wayfinding
نویسندگان
چکیده
Mobile pedestrian wayfinding service is one of the most popular Location Based Services. In the era of Web 2.0, current mobile wayfinding services usually suffer from the following problems: the lack of social navigation support (utilizing other people‟s experiences), and the challenge of making user-generated content useful. This paper designs a collaborative filtering based route recommendation method to address these problems. With the proposed method, smart services like “in similar situation, other people similar to you always choose this route” can be provided in mobile wayfinding systems. These kinds of smart services will significantly improve the quality of the chosen route, thereby effectively supporting users‟ wayfinding tasks.
منابع مشابه
Collective intelligence-based route recommendation for assisting pedestrian wayfinding in the era of Web 2.0
Mobile pedestrian navigation systems are one of the most popular Location Based Services. In the era of Web 2.0, current mobile navigation systems often suffer from the following problems: the lack of social navigation support (utilizing other people’s experiences), and the challenge of making user-generated content (UGC) useful. This paper designs some collective intelligence based route recom...
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