  Although the content in scientific publications is increasingly challenging,
it is necessary to investigate another important problem, that of scientific
information understanding. For this proposed problem, we investigate novel
methods to assist scholars (readers) to better understand scientific
publications by enabling physical and virtual collaboration. For physical
collaboration, an algorithm will group readers together based on their profiles
and reading behavior, and will enable the cyberreading collaboration within a
online reading group. For virtual collaboration, instead of pushing readers to
communicate with others, we cluster readers based on their estimated
information needs. For each cluster, a learning to rank model will be generated
to recommend readers' communitized resources (i.e., videos, slides, and wikis)
to help them understand the target publication.
