Cristina Ioana Muntean

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Social networks are generators of large amount of data produced by users, who are not limited with respect to the content of the information they exchange. The data generated can be a good indicator of trends and topic preferences among users. In our paper we focus on analyzing and representing hashtags by the corpus in which they appear. We cluster a large(More)
This paper presents a recommender system that provides personalized information about locations of potential interest to a tourist. The system generates suggestions, consisting of touristy places, according to the current position and history data describing the tourist movements. For the selection of tourist sites, the system uses a set of points of(More)
In this paper, we tackle the problem of predicting the "next" geographical position of a tourist given her history (i.e., the prediction is done accordingly to the tourist's current trail) by means of supervised learning techniques, namely Gradient Boosted Regression Trees and Ranking SVM. The learning is done on the basis of an object space represented by(More)
In this article, we tackle the problem of predicting the “next” geographical position of a tourist, given her history (i.e., the prediction is done accordingly to the tourist’s current trail) by means of supervised learning techniques, namely Gradient Boosted Regression Trees and Ranking SVM. The learning is done on the basis of an object(More)
Recommendation systems provide focused information to users on a set of objects belonging to a specific domain. The proposed recom-mender system provides personalized suggestions about touristic points of interest. The system generates recommendations, consisting of touris-tic places, according to the current position of a tourist and previously collected(More)
Mobile learning solutions have become a real interest due to the fact that mobile devices have a growing market share and have become somewhat indispensable to modern life. We propose an architecture for a context adaptive m-learning system based on learning object that, even if created by different standards, can be retrieved and combined with the help of(More)
Immunotherapy has been investigated in a small subset of peripheral neuropathies, including an acute one, Guillain-Barré syndrome, and 3 chronic forms: chronic inflammatory demyelinating polyradiculoneuropathy, multifocal motor neuropathy, and neuropathy associated with IgM anti-myelin-associated glycoprotein. Several experimental studies and clinical data(More)
Gamification aims at applying game design principles and elements, such as points, badges, feedbacks or leader boards in non-gaming environments. An interesting goal of gamification is to combine and exploit the fun factor for targeting other aspects like achieving more accurate work, more cost effective solutions and better retention rates. The application(More)
Social events can generate high influxes of people transitioning various locations in a city. They can be considered to have a considerable impact on the local economy, whether they are sport events, concerts or festivals. These events are capable of generating sudden changes in the activity landscape of a city, with the neighborhoods that host events(More)