Multirelational Recommendation in Heterogeneous Networks (original) (raw)

An Overview of Heterogeneous Information Networks based on Recommendation System

international journal of engineering technology and management sciences

Heterogeneous Information Networks (HINs) provide a natural way to represent different relationships among entities of different kinds, as a consequence they are valuable in many domains. Analysing and extracting understanding from HINs normally is based at the idea of meta paths, which are paths in the community schema denoting family members of different semantics among entities. Moreover, real-global HINs are frequently extremely big, containing thousands and thousands of nodes and edges. Therefore, exploring and analysing HINs not only requires interdisciplinary knowhow, having the ability both to interpret and pick out suitable meta paths inside the network, but additionally to run the analysis in an efficient and scalable manner. However, there may be a loss of tools to facilitate this assignment. Most real system include a huge wide variety of interacting, multityped components, while most current researches version them as homogeneous networks, without distinguishing differe...