[ 
https://issues.apache.org/jira/browse/SOLR-10448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Alessandro Benedetti updated SOLR-10448:
----------------------------------------
    Description: 
We have different type of features, and their nature is different :
SolrFeature -> can be query dependent / query independent
FieldValueFeature -> query independent
Value Feature -> query level
OriginalScoreFeature - > query dependent

*Intuition*
Let's see when the extracted value for a feature change :

Query independent ( document level features) -> indexing time, every commit may 
change the feature value and possibly invaldiate the cache entry

query dependent -> both request parameters and index can change the feature 
value

query level -> only request parameters can change the value, it is not affected 
by the index

Caching
let's see the benefits of having 3 separate caches ( so the feature vector 
components will be separated) :

Query independent feature Cache -> simply changing the request parameters will 
not invalidate the cache entry, only a commit will cause the autowarming

Query Dependent Feature Cache -> this will behave like the current cache, so 
changing params you will cache a different feature vector

Query level Cache ->the index is not involved at all

I have not yet investigated how caching internally works in the LTR plugin so i 
don't know how much effort would imply.

  was:
We have different type of features, and their nature is different :
SolrFeature -> can be query dependent / query independent
FieldValueFeature -> query independent
Value Feature -> query level
OriginalScoreFeature - > query dependent

Intuition
Let's see when the extracted value for a feature change :

Query independent ( document level features) -> indexing time, every commit may 
change the feature value and possibly invaldiate the cache entry

query dependent -> both request parameters and index can change the feature 
value

query level -> only request parameters can change the value, it is not affected 
by the index

Caching
let's see the benefits of having 3 separate caches ( so the feature vector 
components will be separated) :

Query independent feature Cache -> simply changing the request parameters will 
not invalidate the cache entry, only a commit will cause the autowarming

Query Dependent Feature Cache -> this will behave like the current cache, so 
changing params you will cache a different feature vector

Query level Cache ->the index is not involved at all

I have not yet investigated how caching internally works in the LTR plugin so i 
don't know how much effort would imply.


> [LTR] Feature vector caching separation
> ---------------------------------------
>
>                 Key: SOLR-10448
>                 URL: https://issues.apache.org/jira/browse/SOLR-10448
>             Project: Solr
>          Issue Type: Improvement
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Alessandro Benedetti
>            Priority: Minor
>
> We have different type of features, and their nature is different :
> SolrFeature -> can be query dependent / query independent
> FieldValueFeature -> query independent
> Value Feature -> query level
> OriginalScoreFeature - > query dependent
> *Intuition*
> Let's see when the extracted value for a feature change :
> Query independent ( document level features) -> indexing time, every commit 
> may change the feature value and possibly invaldiate the cache entry
> query dependent -> both request parameters and index can change the feature 
> value
> query level -> only request parameters can change the value, it is not 
> affected by the index
> Caching
> let's see the benefits of having 3 separate caches ( so the feature vector 
> components will be separated) :
> Query independent feature Cache -> simply changing the request parameters 
> will not invalidate the cache entry, only a commit will cause the autowarming
> Query Dependent Feature Cache -> this will behave like the current cache, so 
> changing params you will cache a different feature vector
> Query level Cache ->the index is not involved at all
> I have not yet investigated how caching internally works in the LTR plugin so 
> i don't know how much effort would imply.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to