Hi.
As suspected the way of showing the output was not optimal. I now get the
objects with a query, as you said:
query "recomms"
recomm : Recommendation()
end
And it shows that my currently solution is working in the way it should. My
inserting rules now look like this:
rule "pets"
salience 20
activation-group "categories"
when
$tr : Translog($trpid : pid)
$p : Product(pid == $trpid, $pid : pid, $price : price,
$brand :
brand)
$pcat : ProductCategory(pid == $pid, $cid : cid)
$cat : Category(cid == $cid, cname == "pets", $cname : cname)
then
insert(new Recommendation($pid, $price, $brand, $cname));
end
rule "food"
salience 20
activation-group "categories"
when
$tr : Translog($trpid : pid)
$p : Product(pid == $trpid, $pid : pid, $price : price,
$brand :
brand)
$pcat : ProductCategory(pid == $pid, $cid : cid)
$cat : Category(cid == $cid, cname == "food", $cname : cname)
not Recommendation(cname == "pets")
then
insert(new Recommendation($pid, $price, $brand, $cname));
end
...
After all transaction data was read in I call the remove rules in a
descending order:
rule "remove everything except pets"
salience 19
when
exists Recommendation(cname == "pets")
$recomm : Recommendation(cname == "food" || cname ==
"vegetable" || cname
== "drinks")
then
retract($recomm);
end
rule "remove everything except food"
salience 18
when
exists Recommendation(cname == "food")
$recomm : Recommendation(cname == "vegetable" || cname ==
"drinks")
then
retract($recomm);
end
...
I think there is space for optimization.
Is there a huge speed advantage in your solution laune in comparison to mine
(because I have far more rules) in case of lets say 10.000 master data facts
in working memory?
Thank you
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