The development of knowledge sharing platforms, like scientific social networks encourages
researchers to establish international collaboration in scientific projects. After reviewing the …

Collaboration across different domains has become a promising fashion in the academic
field. However, it faces significant challenges that prevent researchers from forming new …

Featured Application Enhances the performance, specifically the accuracy, of a collaborative
filtering-based recommender system, by exploiting textual data and filtering the initial input …

The advancement of social communities and virtual interaction of thoughts have apparently
made social networking one of the fastest-growing concepts. The interaction carries …

Цель данной работы-сравнить возможности научных социальных сетей и CRIS с
потребностями научного сообщества. Научные социальные сети уже почти двадцать …

Collaborator finding systems are a special type of expert finding models. There is a long-
lasting challenge for research in the collaborator recommending research area, which is the …

Expert finding systems try to alleviate the information overload problem and recommend
experts who can satisfy users' needs. They support researchers to find research …

Collaborating with researchers from different academic domains has become more
accessible with the emergence of academic social networking platforms. However, finding …

This research introduces a new collaborators recommendation model based on multi-
feature fusion. Specifically, we use a tree structure to integrate scholar information and …

El desarrollo de software para robots presenta desafíos particulares: amplia variedad de
disciplinas involucradas (ingeniería de software, ciencia de datos, mecatrónica, etc.) y uso …