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https://issues.apache.org/jira/browse/SPARK-13733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15207219#comment-15207219
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Gayathri Murali edited comment on SPARK-13733 at 3/22/16 8:28 PM:
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[~mengxr] [~dwmclary] https://issues.apache.org/jira/browse/SPARK-5854 - 
mentions one key difference between page rank and personalized page rank as:
"In PageRank, every node has an initial score of 1, whereas for Personalized 
PageRank, only source node has a score of 1 and others have a score of 0 at the 
beginning.", which basically means we initialize as [1, 0, 0, 0, ..] where we 
set 1 only to the seed node. 

1. For this JIRA, do we want to instead set an initial distribution of weights 
such that all nodes receive non-zero initial values?  Could you clarify if this 
is the behavior that is intended?
2. What is the idea behind having an initial weight distribution for other 
vertices in personalized page rank? 





was (Author: gayathrimurali):
[~mengxr] [~dwmclary] https://issues.apache.org/jira/browse/SPARK-5854 - 
mentions one key difference between page rank and personalized page rank as:
"In PageRank, every node has an initial score of 1, whereas for Personalized 
PageRank, only source node has a score of 1 and others have a score of 0 at the 
beginning.", which basically means we initialize as [1, 0, 0, 0, ..] where we 
set 1 only to the seed node. 

For this JIRA, do we want to instead set an initial distribution of weights 
such that all nodes receive non-zero initial values?  Could you clarify if this 
is the behavior that is intended?




> Support initial weight distribution in personalized PageRank
> ------------------------------------------------------------
>
>                 Key: SPARK-13733
>                 URL: https://issues.apache.org/jira/browse/SPARK-13733
>             Project: Spark
>          Issue Type: New Feature
>          Components: GraphX
>            Reporter: Xiangrui Meng
>
> It would be nice to support personalized PageRank with an initial weight 
> distribution besides a single vertex. It should be easy to modify the current 
> implementation to add this support.



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