Hi Jonathan,
Yes, the blending in this context is exactly as you describe. More specifically, we take the top relevancy-ranked results from our Solr engine, and the top relevancy-ranked results from the Primo Central API. Each set of results comes with a relevancy score for each document in the set of results. Naturally, the scores are different so we normalize them. The results that come from the Solr engine are interfaced by using a Java object that the Solr software creates (a Collection of Solr document records). The results from the Primo Central API are parsed with the help of a schema provided by Ex Libris as part of the Primo Central API. The Primo Central record is then converted into a data type that matches what is already in the Solr Java object. We insert the Primo Central results into that object using the results from the normalized relevancy algorithm to find the right place to insert, and that is the way we are able to display a combined relevancy-ranked result set.
Josh
Joshua Greben
Systems Librarian/Analyst
Florida Center for Library Automation
5830 NW 39th Ave,
Gainesville, FL 32606
352-392-9020 ext 246
jgreben_at_ufl.edu
On Mar 21, 2011, at 12:37 PM, Jonathan Rochkind wrote:
> On 3/18/2011 2:41 PM, Jean Phillips wrote:
>> At FCLA and other places there are people working on the ability to include megaindexes of articles and others into their locally developed or open source Discovery Tool. We've recently been able to blend the results from Ex Libris's Primo Central Index in with our local repository of metadata from the catalog and digital collections sources.
>
> When you say "blend"... what do you mean exactly? You really mean blend, hits from the external index interspersed with hits from your local repository, with some relevance algorithm merging the two sets?
>
> How ever did you manage that?
>
Received on Mon Mar 21 2011 - 13:18:29 EDT