Journal Article Fast Ad-Hoc Search Algorithm for Personalized PageRank

FUJIWARA, Yasuhiro  ,  NAKATSUJI, Makoto  ,  SHIOKAWA, Hiroaki  ,  MISHIMA, Takeshi  ,  ONIZUKA, Makoto

E100.D ( 4 )  , pp.610 - 620 , 2017-04 , 電子情報通信学会
ISSN:0916-8532
NCID:AA10826272
Description
Personalized PageRank (PPR) is a typical similarity metric between nodes in a graph, and node searches based on PPR are widely used. In many applications, graphs change dynamically, and in such cases, it is desirable to perform ad hoc searches based on PPR. An ad hoc search involves performing searches by varying the search parameters or graphs. However, as the size of a graph increases, the computation cost of performing an ad hoc search can become excessive. In this paper, we propose a method called Castanet that offers fast ad hoc searches of PPR. The proposed method features (1) iterative estimation of the upper and lower bounds of PPR scores, and (2) dynamic pruning of nodes that are not needed to obtain a search result. Experiments confirm that the proposed method does offer faster ad hoc PPR searches than existing methods.
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