today, online social networks are very popular due to the possibility of creating relationships between people all over the world. these social networks with possibilities such as friend recommendation generally use local features derived from social graph structure. for friend recommendation, there are different algorithms with local and global approaches. in this paper, we proposed an algorit...

With the ever-increasing number of web services registered in service communities, many users are apt to find their interested web services through various recommendation techniques, e.g., Collaborative Filtering (i.e., CF)-based recommendation. Generally, CF-based recommendation approaches can work well, when a target user has similar friends or the target services (i.e., services preferred by...

This paper mainly presents about the explosion of various contents generated on the web, Recommendation techniques have become necessary. Many types of data sources are used for recommendations and these data sources can be modeled in the form of graph. Aiming at providing the general limit on mining web graphs, we illustrate the generalization of different recommendation problems into our grap...

With the rapid development of e-commerce, the contradiction between the disorder of business information and customer demand is increasingly prominent. This study aims to make ecommerce shopping more convenient, and avoid information overload, by an interactive personalized recommendation system using the hybrid algorithm model. The proposed model first uses various recommendation algorithms to...

Top-N recommendation systems are useful in many real world applications such as E-commerce platforms. Most previous methods produce top-N recommendations based on the observed user purchase or recommendation activities. Recently, it has been noticed that side information that describes the items can be produced from auxiliary sources and help to improve the performance of top-N recommendation s...

RECOMMENDATION 1: In patients with serious illness at the end of life, clinicians should regularly assess patients for pain, dyspnea, and depression. (Grade: strong recommendation, moderate quality of evidence.) RECOMMENDATION 2: In patients with serious illness at the end of life, clinicians should use therapies of proven effectiveness to manage pain. For patients with cancer, this includes no...

Recommendation has become one of the most important components of online services for improving sale records, however visualization work for online recommendation is still very limited. This paper presents an interactive recommendation approach with the following two components. First, rating records are the most widely used data for online recommendation, but they are often processed in high-d...

Botulinum neurotoxin (BoNT) can be injected to achieve therapeutic benefit across a large range of clinical conditions. To assess the efficacy and safety of BoNT injections for the treatment of certain movement disorders, including blepharospasm, hemifacial spasm, oromandibular dystonia, cervical dystonia, focal limb dystonias, laryngeal dystonia, tics, and essential tremor, an expert panel rev...

Item-based collaborative filtering recommendation algorithm is one of the most widely used recommendation algorithm, which is widely used in many recommendation systems. But there are some drawbacks when used in large e-business systems. The existing traditional algorithms can’t perform well when the item space changes; on the other side, the performance of the recommendation system will go dow...

Access control policies are generally modelled using permission, prohibition, and obligation rules. However, this does not cover all possible scenarios as several applications have recommendation rules. In this paper, we provide a formal framework to express and to enforce recommendations. More precisely, our framework allows to express recommendation rules that become requirements over time. F...