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In this paper, we propose a novel ranking scheme named Affinity Ranking (AR) to re-rank search results by optimizing two metrics: (1) diversity --which indicates the variance of topics in a group of documents; (2) information richness --which measures the coverage of a single document to its topic. Both of the two metrics are calculated from a directed link graph named Affinity Graph (AG). AG models the structure of a group of documents based on the asymmetric content similarities between eachdoi:10.1145/1076034.1076120 dblp:conf/sigir/ZhangLLJXFCM05 fatcat:eh4xkldz6nhi3mgckx2mvvessu