A scholarly recommendation system is an important tool for identifying prior and related
resources such as literature, datasets, grants, and collaborators. A well-designed scholarly …

The data overload problem and the specific nature of the experts' knowledge can hinder
many users from finding experts with the expertise they required. There are several expert …

Selecting reviewers for code changes is a critical step for an efficient code review process.
Recent studies propose automated reviewer recommendation algorithms to support …

The massively growing documents make it a challenge for researchers to find high value
papers. To solve information explosion, some work on personalized paper recommendation …

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

Traditional collaborative filtering recommendation algorithm has the problems of sparse data
and limited user preference information. To deal with data sparseness problem and the …

Indirect trust computation based on recommendations form an important component in trust-
based access control models for pervasive environment. It can provide the service provider …

The advances in data computing and analysis methodologies have contributed to the added
value of data. Several years ago it was difficult to imagine that we would ever be able to …

Measuring centrality in a social network, especially in bipartite mode, poses many
challenges, for example, the requirement of full knowledge of the network topology, and the …

The prevalence of social networks amongst people has become an inevitable issue. At the
same time, social networks have widely been used for commercial purposes. As a result, in …