Cache-efficient approach for index-free personalized pagerank

HIGHLIGHTS

• who: Personalized PageRank and colleagues from the School of Science and Technology, Keio University, Kanagawa, Japan have published the paper: Cache-Efficient Approach for Index-Free Personalized PageRank, in the Journal: (JOURNAL)
• what: The authors propose a cache-efficient approach that accelerates both FP and MC phases. To reduce cache misses, the authors focus on optimizing the computational procedure of both FP and MC phases. The authors propose a cache-efficient approach for fast index-free PPR computation. The authors report the results from source vertex s whose Ds is closest to the average Ds . . .
  

   

  

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