Abstract

The purpose of this paper is to present a recommendation system that can easily and conveniently assist collaboration seekers in finding high-level subject experts for research projects. We will accomplish this task by providing a recommender system known as the Collaboration Mapping System (CMS). The CMS maps potential collaborators with each other based on specified criteria. Due to the difficulties in finding research collaborators and the often-accidental nature of finding collaborators, it is important for university research communities to have tools to make the process more efficient and easier. This research is important for academicians and students alike because it will aid them in finding others who desire to pursue research projects that they would otherwise not be able to pursue, due to lack of knowledge and expertise. Keywords Collaboration, Research, Mutual Interest, Knowledge Mapping

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A Collaboration Mapping System (CMS): Who Knows What ?

The purpose of this paper is to present a recommendation system that can easily and conveniently assist collaboration seekers in finding high-level subject experts for research projects. We will accomplish this task by providing a recommender system known as the Collaboration Mapping System (CMS). The CMS maps potential collaborators with each other based on specified criteria. Due to the difficulties in finding research collaborators and the often-accidental nature of finding collaborators, it is important for university research communities to have tools to make the process more efficient and easier. This research is important for academicians and students alike because it will aid them in finding others who desire to pursue research projects that they would otherwise not be able to pursue, due to lack of knowledge and expertise. Keywords Collaboration, Research, Mutual Interest, Knowledge Mapping