A Big Data Fuzzy Grey Relational Analysis Method for social post retrieval - with an application to Facebook's news groups

摘要

In social media, after many candidate posts are chosen by satisfying functional criteria of target posts, users require a selection algorithm to further rank the candidate posts with their nonfunctional criteria. Therefore, this study proposes a novel algorithm, named BD-FGRA (Big Data-Fuzzy Grey Relational Analysis), to handle posts on parallel over the Spark platform by selecting the top-N posts that satisfy all the user-specified selection criteria, the ranking criteria and the goals of the nonfunctional attributes most. All the experiments show that BD-FGRA gets convincing performances.