نتایج جستجو برای: recommendation systems
تعداد نتایج: 1210479 فیلتر نتایج به سال:
Group tourism is one of the most important tasks in tourist recommender systems. These systems, despite of the potential contradictions among the group's tastes, seek to provide joint suggestions to all members of the group, and propose recommendations that would allow the satisfaction of a group of users rather than individual user satisfaction. Another issue that has received less attention i...
Recommendation systems have been successfully used to provide items of interest to the users (e.g., movies, music, books, news, images). However, traditional recommendation systems do not take into account the location as a relevant factor when providing suggestions. On the other hand, nowadays, there exist an increasing amount of georeferenced data and users are usually interested only in near...
BACKGROUND An evaluation of exercise counseling practices among nephrologists in 2001 demonstrated few clinicians assessing patients' levels of physical activity (PA) and counseling to increase activity. Recent Kidney Disease Outcomes Quality Initiative (KDOQI) cardiovascular guidelines recommended that nephrologists counsel patients to increase PA. Our objective was to ascertain whether nephro...
Many practical recommendation systems have been studied, and also the services based on such recommendation systems have been opened in real world. The main research questions of this work are i) how these recommendation services provide users with useful information, and ii) how different the results from the systems are from each other. In this paper, we propose a black-box evaluation framewo...
In order to define the problems we address in this thesis, this chapter reviews the state-of-the-art in P2P recommendation systems. First, we describe centralized recommendation systems, their approaches, and limitations. Second, we discuss P2P systems as an alternative, scalable solution for decentralized recommendation systems, and extract their requirements. Finally, we evaluate the existing...
In order to define the problems we address in this thesis, this chapter reviews the state-of-the-art in P2P recommendation systems. First, we describe centralized recommendation systems, their approaches, and limitations. Second, we discuss P2P systems as an alternative, scalable solution for decentralized recommendation systems, and extract their requirements. Finally, we evaluate the existing...
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