Archive for the Recommendations category

Mohamed Mokbel
Mohamed Mokbel

Thinking Spatial

Databases, Recommendations, Spatial, Systems

Self-driving cars, ride-sharing service (e.g., Uber and Lyft), and Pokemon Go are just three examples of recent disruptive applications that gained huge market share and publicity. It is expected that each self-driving car will generate 2 PB of data per year, with 10 Million of such cars by 2020. Uber has 2+ Billion rides so […]

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Kostas Stefanidis, Eirini Ntoutsi, Haridimos Kondylakis
Kostas Stefanidis, Eirini Ntoutsi, Haridimos Kondylakis

Information Hunting: The Many Faces of Recommendations for Data Exploration

Recommendations

With the growing complexity of the Web, users often find themselves overwhelmed by the mass of choices available. For example, shopping for DVDs or clothes online becomes more and more difficult, as the variety of offers increases rapidly and gets unmanageable. To facilitate users in their selection process, recommender systems provide suggestions of potential interest […]

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