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In general, the dataset of volunteer recommendation systems shows the sparsity, while a volunteer recommendation system required performing the function of recommending voluntary activities interesting to a specific volunteer. To our knowledge, there exists no such kind of recommendation systems. To begin with, this paper firstly presents an analysis of a dataset collected from a real volunteering...
This paper provides an assessment of partial Information Sharing (IS) in Supply Chain (SC). We study the dynamics of collaborative multi-echelon structure, characterized by an increasing level of information visibility among partners. To do so, we mathematically model six four-echelon serial SCs via difference equations and conduct numerical simulations on the basis of a robust design of experiment...
Ubiquitous commerce (u-commerce) is an emerging area of ubiquitous computing. Electronic commerce (e-commerce), mobile commerce (m-commerce), and ubiquitous commerce are based not only on development concerns of Internet but also technological and organizational innovations arising from the combination of telecommunications and organizational computing. In u-commerce, service is provided according...
Numerous research groups and other organizations collect data from popular data sources such as online social networks. This leads to the problem of data islands, wherein all this data is isolated and lying idly, without any use to the community at large. Using existing centralized solutions such as Drop box to replicate data to all interested parties is prohibitively costly, given the large size...
In light of a constantly growing interest and real-world applicability shown in social collaboration networks, we have gathered data from Fashion Model Directory, the largest fashion model database. As such, we model and analyze the network formed by female fashion models all around the world, which we call FMNet. Inspired by similar approaches in the actors and music industry, we compare our empirical...
The tremendous growth in the amount of available web services raised many challenges in service computing and made the process of choosing the best service candidates an important challenge. Skyline is a technique that helps reducing the size of our search space and comes as a complementary approach to the optimization methods. In fact, Skyline consists in preselecting the best candidates in the search...
In this paper we present an approach for People-to-People recommendations based on a Rich Context Model (RCM). We consider personal user information as contextual information used for our recommendations. The evaluation of our recommendation approach was performed on a social network of students. The obtained results do show a significant increase in performance while, at the same time, a slight increase...
Massive Open Online Courses (MOOCs) are dominating the eLearning field due to its sound pedagogical features and being open to any interest participant. Due to popularity and the demand, number of MOOCs increases at a higher rate. However, not all the MOOCs meet the goals of user. In other terms, not all the MOOCs are effective. It is vital to identify the factors affect to an effective MOOC. Since...
The recommender system is widely used in many areas in the age of information overload. Collaborative filtering (CF), as one of the most successful methods used for recommendation, recommends items based on the nearest neighbors of the target user. Thus, the performance of the recommender system depends largely on the similarity measure used for selecting neighbors. Most of the traditional similarity...
Massive Open Online Courses (MOOC) is a trending phenomenon in online education. Number of participants in a MOOC and the number of MOOCs by platforms and courses are appearing to be increasing at a tremendous level. Although MOOC found to be the “buzz” word, latest reports claim that the hype of the MOOC is fading. One reason to this is because many MOOCs offered and created despite of evaluating...
Academics establish relations among them in multitude ways, co-authorship being one of them. In fact co-authorship has the advantage of being the best recorded among all forms of academic collaborations. Co-authored publications appear in the form of research articles, conference and workshop proceedings, technical reports, etc. As per DBLP, one of the major digital libraries, around 55 percent of...
Nowadays, mobile devices become more and more powerful and affordable. This is the reason why, side by side with the evolution of smart phones, the applications for those devices have also evolved. One type of applications that are widely used almost daily are the ones that help tracking the user's location. We propose a collaborative mobile application that can help a group of users doing outside...
Effective software engineering demands a coordinated effort. Unfortunately, a comprehensive view on developer coordination is rarely available to support software-engineering decisions, despite the significant implications on software quality, software architecture, and developer productivity. We present a fine-grained, verifiable, and fully automated approach to capture a view on developer coordination,...
A big part of data around us is in image format and people use these images in many of their decisions. The popularity of an item, in many cases, depends highly on its visual quality. For instance, the shape of a car has a significant influence on the attitude of potential customers toward it. Recommender systems try to provide people with recommendations resulted from an automatic process which is...
Recommender systems help users to find information that best fits their preferences and needs in an overloaded search space. Most recommender systems researches have been focused on the accuracy improvement of recommendation algorithms. Choosing appropriate similarity measure is a key to the recommender system success for this target. Pearson Correlation Coefficient (PCC) is one of the most popular...
A Network of Teams (NoT) is a set of overlapping teams working toward a common goal. NoTs arise in several contexts such as large software projects, sensors cooperating for target tracking, and terrorist cell networks. Modeling a NoT as a simplicial complex, we consider the problem of quantifying the strength of a NoT using metrics based purely on its structure. While the design of a metric clearly...
This paper presents two families of distances in the space of high order proximity networks. The distances measure differences between networks and are shown to be valid metrics in the space of high order proximity networks modulo permutation isomorphisms. Practical implications are explored by comparing the coauthorship networks of two popular signal processing researchers. The metrics succeed in...
Several virtual communities have spread during the last decade where hundreds of people interact and socialize. Users use these communities in many fields including education, health, business, and entertainment. They use them to communicate, share information, and collaborate to achieve common goals and finish their tasks. To our knowledge, no existing literature or research studies show the benefit...
With the increasing popularity of Location-based Social Networks (LBSNs), users have shared information about places they have visited, creating a link between the real world (their movements on the globe) and the virtual world (what they express about these movements on the LBSNs). In this article, we propose the SiST model, which contains information captured from different dimensions (Social, Spatial...
The present work describes the application of a multi-criteria assessment tool called MYRIAD to the evaluation of a methodology that was developed to improve team understanding of a complex situation. The methodology aims to support a multi-disciplinary team working collaboratively on the development of a mission plan during an expeditionary stability operation. We conducted a case study assessing...
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