By Falko Schmid, Lutz Frommberger, Cai Cai, Christian Freksa (auth.), Danny Vandenbroucke, Bénédicte Bucher, Joep Crompvoets (eds.)
ISBN-10: 3319006142
ISBN-13: 9783319006147
ISBN-10: 3319006150
ISBN-13: 9783319006154
For the 7th consecutive yr, the AGILE promotes the e-book of a ebook accumulating high-level clinical papers from unpublished basic medical examine within the box of Geographic details technological know-how. because the schedule for Europe 2020 is at present being set, this e-book demonstrates how geographic info technological know-how is on the center of Europe. The contributions open views for leading edge companies that would boost our eu financial system, and to be able to tell voters approximately their setting whereas keeping their privateness. the most recent demanding situations of spatial information infrastructures are addressed, reminiscent of the relationship with the internet vocabularies or the illustration of family tree. person generated information (through social networks or via interactive cameras and software program) can be a big step forward in our area. A pattern to deal an increasing number of with time, occasions, historic information, a nd actions is seen this 12 months to boot. This quantity collects the 23 top complete papers offered throughout the sixteenth AGILE convention on Geographic info technological know-how, held among 14 and 17 could 2013 in Leuven, Belgium.
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This method, while exploring previous check-ins across users, does not assess similarity between users in predicting future locations, an aspect that our research suggests is beneficial. , Amazon recommendations) has also focused on measuring user similarity, but typically concentrates on ‘‘structured’’ data such as numerical (star) ratings (Linden 2003; Herlocker et al. 2004). Recently, Lee and Chung (2011) presented a method for determining user similarity based on LBSN data. While the authors also made use of check-in information, they concentrated on the hierarchy location categories supplied by 42 G.
While the authors also made use of check-in information, they concentrated on the hierarchy location categories supplied by 42 G. McKenzie et al. Foursquare in conjunction with the frequency of check-ins to determine a measure of similarity. By comparison, our approach is novel in that it makes use of an abundance of unstructured descriptive text (tips) provided by visitors of specific venues rather than a single categorical value. 3 Methodology In this section, we describe the data collection, topic extraction, and methodology used for developing our user similarity measures.
The correlation is highly significant. We can therefore reject the null hypothesis and accept the hypothesis that trust assessments and quality measures are correlated in a linear fashion. The statistical analysis thus suggests that provenance-based trust assessments do indeed work as proxies for data quality. 3 Discussion Putting the result of the statistical analysis into context, several facts have to be taken into account. First, the model for trust assessment used in this chapter is very simple and does not take any of the finer details of trust models for VGI discussed in the existing literature into account.
Geographic Information Science at the Heart of Europe by Falko Schmid, Lutz Frommberger, Cai Cai, Christian Freksa (auth.), Danny Vandenbroucke, Bénédicte Bucher, Joep Crompvoets (eds.)
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