Javad,

The graph database would probably just store the list of things you could 
choose amongst for your recommendations; a graph database doesn't do 
recommendations, and hence whether or not those recommendations would 
reenforce one another would depend on the kind of algorithm you're using 
for doing the recommendation.  If it was done incorrectly, yes the problem 
you're asking about could occur, but my guess is that it wouldn't have 
anything to do with neo4j.

Can you describe more what you're trying to do?



On Thursday, January 2, 2014 2:50:47 PM UTC-5, Javad Karabi wrote:
>
> When using a graph database for a recommendations engine, would not the 
> suggested recommendations continue to reenforce themselves, thus kind of 
> creating a feedback loop?
> How does one prevent this from happening?
>

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