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1.467.330  Articles
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The digital library brings convenience, but meanwhile, it also brings the problems of overloaded information and over-diversified forms,thus search becomes difficult. Personalized Learning Recommendation System is the key to solve the problems, and suita... see more

Many trust-aware recommendation systems have emerged to overcome the problem of data sparsity, which bottlenecks the performance of traditional Collaborative Filtering (CF) recommendation algorithms. However, these systems most rely on the binary social n... see more

To improve recommendation quality, the existing trust-based recommendation methods often directly use the binary trust relationship of social networks, and rarely consider the difference and potential influence of trust strength among users. To make up fo... see more

Recruiting new employees is the process of selecting potential employees to attract talented employees who will join the company later. Improve your company's productivity by hiring new employees who meet your company's standards. In addition to the devel... see more

Undergraduate thesis as the final project, or in Indonesian called as Tugas Akhir, for each undergraduate student is a pre-requisite before student graduation and the successfulness in finishing the project becomes as one of learning outcomes among others... see more

Technology developments so rapidly that thinking about a lot of feature and the choice of models on offer. A notebook is a piece of technology equipment that has been chosen to assist in the execution of tasks from school or duties of the office. The form... see more

Culinary tourism is the experience of finding and enjoying unique and impressive food and drinks in a new region. Each region has a unique food flavor and can be the right choice for culinary tourists who want to try new experiences regarding taste. Diffe... see more

Nowadays, social network-based collaborative filtering (CF) methods are widely applied to recommend suitable products to consumers by combining trust relationships and similarities in the preference ratings among past users. However, these types of method... see more

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