  This paper describes our solution for WSDM Cup 2016. Ranking the query
independent importance of scholarly articles is a critical and challenging
task, due to the heterogeneity and dynamism of entities involved. Our approach
is called Ensemble enabled Weighted PageRank (EWPR). To do this, we first
propose Time-Weighted PageRank that extends PageRank by introducing a time
decaying factor. We then develop an ensemble method to assemble the authorities
of the heterogeneous entities involved in scholarly articles. We finally
propose to use external data sources to further improve the ranking accuracy.
Our experimental study shows that our EWPR is a good choice for ranking
scholarly articles.
