Hi everyone,
At my "Learning-to-Rank with Apache Solr and Bees" talk on Friday [1] there was
one question that wasn't properly understood (by me) and so not fully answered
in the room but later in individual conversation the question/answer became
clearer. So here I just wanted to follow-up and share with everyone (using a
fictional mini example).
Hope that helps.
Thanks,
Christine
---
Scenario:
* a schema with multiple text fields e.g. title, summary, details
* search queries consider the text fields
Intention:
* have features that capture how well the user query matches various text fields
Example queries and feature definitions:
* without LTR:
select?q=developer
select?q=chef
* with LTR:
select?q=developer&rq={!ltr model=myDemoModel efi.userQuery=developer}
select?q=chef&rq={!ltr model=myDemoModel efi.userQuery=chef}
Notice how in the above example the two users' queries pass different
efi.userQuery values and how the feature definitions below include a
${userQuery} placeholder.
myDemoFeatures.json
[
{
"name" : "userQueryTitle",
"class" : "org.apache.solr.ltr.feature.SolrFeature",
"params" : { "q" : "title:${userQuery}" }
},
{
"name" : "userQuerySummary",
"class" : "org.apache.solr.ltr.feature.SolrFeature",
"params" : { "q" : "summary:${userQuery}" }
},
{
"name" : "userQueryDetails",
"class" : "org.apache.solr.ltr.feature.SolrFeature",
"params" : { "q" : "details:${userQuery}" }
}
]
---
Links
[1] http://sched.co/BAwI
[2] http://lucene.apache.org/solr/guide/6_6/learning-to-rank.html
[3] https://github.com/cpoerschke/ltr-with-bees
