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Recommendation system concentrates on quickly matching products to consumer’s needs, which plays a major role in improving user experiences and increase conversion rate. Travel recommendation has become a hot topic in both industry and academia with the ...

Automatically extracting geographic information from text is the key to harnessing the vast amount of spatial knowledge that only exists in this unstructured form. The fundamental elements of spatial knowledge include spatial entities, their types and ...

In this article, we introduce a novel platform dedicated to the extraction, transformation and visualization of mobility data. This platform was developed in the framework of a French regional project (DA3T project) aiming at improving the management ...

The new coronavirus pandemic (COVID-19) has induced a radical change in the way people are educated. Distance or online learning has become the norm and it is important to provide new resources to ensure that continuing education takes place during this ...

We present the Virtual City Explorer (VCE), an online crowdsourcing platform for the collection of rich geotagged information in urban environments. Compared to other volunteered geographic information approaches, which are constrained by the number and ...

In a smart environment, mobile devices collect all important information and share knowledge between them or with the cloud to manage resources and assets. The overhead generated by the routing protocol affects drastically the exchange of data packets ...

Big data visualization is a main task for data analysis. Due to its complexity in terms of volume and variety, very large datasets are unable to be queried for similarities among entries in traditional Database Management Systems. In this paper, we ...

Collaborative1 filtering algorithm has such problems as sparsity of raw data, low efficiency and accuracy of recommendation. To solve the problems, this paper proposed the collaborative filtering algorithm based on complementary conditions of social ...

The digital geohumanities---and geographic computation generally--- have advanced greatly by representing phenomena within geographic coordinate systems. More specifically, most visualizations and analyses only proceed once data are rendered into a ...

We propose a categorization algorithm for text content description such as tags for images from social media or crowd sourcing services, to identify places characteristics. The algorithm is based on a spatial coverage and a multi-facets categorization. ...

There exist many popular crowdsourcing and social services (Volunteered Geographic Information (VGI)) to share information and documents such as Flickr, Foursquare, Twitter , Facebook, etc. They all use metadata, folksonomy and more importantly a ...

Plague of modern times, the phenomenon of the traffic accidents hampers heavily resources of the society. The road mows every year thousands of deaths and tens of thousands wounded. This frightening number of victims requires a study of this phenomenon ...

We investigate the role of geographic proximity in news consumption. Using a month-long log of user interactions with news items of ten information portals, we study the relationship between users' geographic locations and the geographic foci of ...

Location models built on social media have been shown to be an important step toward understanding places in queries. Current search technology focuses on predicting broad regions such as cities. Hyperlocal scenarios are important because of the ...

When large-scale online geo-tagged images come into view, it is important to leverage geographic information for web image retrieval. In this paper, a geo-metadata based image retrieval system is proposed using both textual tags and visual features. ...

Temporal and geographic information needs are frequent and important but not well served by standard IR systems. Recent approaches address such needs by extracting and normalizing temporal and geographic expressions from documents. They calculate ...

This article investigates the usability of crowd sourced geographical information from systems such as OpenStreetMap (OSM) for logistic simulation. Our investigations are motivated by the need to efficiently and quickly build simulation models ...

Textual data ranging from corpora of digitized historic documents to large collections of news feeds provide a rich source for temporal and geographic information. Such types of information have recently gained a lot of interest in support of different ...