>From Apache Solr tests :
loadFeature(
"SomeEdisMax",
SolrFeature.class.getCanonicalName(),
"{\"q\":\"{!edismax qf='title description' pf='description' mm=100%
boost='pow(popularity, 0.1)' v='w1' tie=0.1}\"}");
*qf='title description'*
Can you try again using the proper
Yes, I have tried that too:
But it was throwing error while feature extraction:
"Exception from createWeight for SolrFeature [name=originalLuceneScore,
params={q={!dismax qf=tem_type_all^30.0 ..}${user_query}}] Failed to
parse feature query.
at
org.apache.solr.ltr.LTRScoringQuery.crea
I understood your requirement,
the SolrFeature feature type should be quite flexible,
have you tried :
{
name: "overallEdismaxScore",
class: "org.apache.solr.ltr.feature.SolrFeature",
params: {
q: "{!dismax qf=item_typel^3.0 brand^2.0 title^5.0}${user_query}"
},
store: "myFeatureStoreDemo",
I do have the features defined as below for field specific (title..) matching
etc:
features: [
{
name: "productNewness",
class: "org.apache.solr.ltr.feature.SolrFeature",
params: {
q: "{!func}recip( ms(NOW,launchdate_pl), 3.16e-11, 1, 1)"
},
store: "myFeatureStoreDemo",
},
{
name: "originalScore",
>From the snippet you posted this is the query you run :
q=id:"13245336"
So the original score ( for each document in the result set) can only be the
score associated to that query.
You then pass an EFI with a different text.
You can now use that information to calculate another feature if you wa
solr/collection/select?fl=id,score,[features+store=myFeatureStore+efi.user_query='black
shoes']&wt=json&q=id:"13245336"&debugQuery=on
When we fire this query during feature extraction, the originalScore feature
gets the score of the "id" match but not the actual user query which is in
this case 'b
