The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Drug abuse and addiction is a growing epidemic at the forefront of public health. Within this remit, the illicit use of opioid analgesics alone has emerged as one of the fastest growing forms of drug abuse in the U.S. and the death rate from this epidemic are drawing comparison to the US AIDS epidemic. Traditional methods of epidemiology based on explicit reporting of indicator-based data from patient...
Many new applications have been recently developed to satisfy users special needs on the web. In this context, we are interested in personalized systems and particularly in Personalized Multi-Agent Systems (PMAS) characterized by collective and intelligent resolution in a distributed and parallel environment. This work assesses personalization, the most important characteristic of interface in multi-agent...
Traditional location-based service profiles user's traits by looking for patterns in historical mobility behaviors. Yet, from time to time, people are adventurous and would often like to go to unvisited places, or follow new transition paths. At that time, their next movements will be inconsistent with any previous patterns, making location-based recommendations inaccurate and irrelevant to user's...
VANETs have attracted researchers' attention lately because of the need to promote the driving experience by extending the drivers' view through wireless data exchange. Mobility prediction enables appealing proactive experiences for a wide range of VANET location-aware services and applications. In this work, we present more than a destination prediction technique. We introduce a mechanism for transforming...
Retweeting is an important mechanism for information diffusion, popular event prediction, and so on. Due to the increasing requirements, in recent years, the task has attracted extensive attentions. In this paper, we propose a novel framework using probabilistic matrix factorization technique to predict retweeting behavior. Our study consists of three components. First, we convert retweeting behavior...
Within a network new links of the same kind can derive from previous links, but also new kinds of links/relations derive from previous relations, thus new kinds (levels) of networks derive from a given network. Both phenomena would need a systematic theory (especially in social domains), good definitions, and possibly simulation models for understanding their real dynamics and predictive power. While...
In 2007, Netflex provided a large training dataset describing user ratings of movies for KDD Cup contest. Many competitors proposed various kinds of data mining model trying to achieve the best prediction performance. The first place winner among the competitors got the best root mean square error (RMSE) of 0.256. Most of the models applied statistical machines learning techniques with collaborative...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.