Geo-recommendation is redefining the way in-door shopping is performed bringing notable opportunities to the leisure domain. In the field of mobile recommender systems, it is giving rise to the coining of the term geo-recommendation to refer to the ability to recommend places of possible interest to a user taking into account both the current geographical location of the user and the geographical location of the places. Nowadays, location information could be the most exploited kind of contextual information among mobile applications. The availability of location data from positioning systems such as Global Positioning System (GPS) and Global Navigation Satellite System (GLONASS) has become more and more common among mobile devices. In detail, beyond the possibility of access recommender systems at anytime and anywhere (ubiquity) as mobile applications, the diversification of the capabilities of mobile devices towards the concept of self-awareness has led built-in sensors such as geolocation, motion and environmental sensors to play a role in the development of mobile recommender systems. In such a context, Recommender Systems are especially valuable tools for nonexperienced users facing decision-making processes as it is well-demonstrated by the increasingly common appearance of e-commerce Websites taking advantage of recommendation techniques.Ĭurrent advances in Mobile Computing research and wireless network technologies along with the proliferation of evermore powerful mobile devices such as smartphones and tablet computers has brought recommender systems to migrate to mobile platforms, resulting in the Mobile Recommender Systems research field. In fact, since the appearance of the first commercial Recommender System called “Tapestry” in 1992, Recommender Systems have proven effective in overcoming the challenges related to the incredible growth of the Web, namely information overload. They are considered to be a kind of Information Retrieval (IR) system providing personalized information recommendations.
#Pervasive and mobile computing software
Recommender systems are software tools and techniques providing suggestions for items to be of use to a user. Special Issue on Context-aware Mobile Recommender Systems in Pervasive and Mobile Computing, Elsevier (Impact factor 1.667 according to Thomson Scientific 2013 Journal Citations Report)
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