It would probably be better to do entity extraction and normalization of job titles as a front-end process before ingesting the data into Solr, but you could also do it as a custom or script update processor. The latter can be easily coded in JavaScript to run within Solr
Your first step in any case will be to define the specific rules you wish to use for both normalization of job titles and the actual matching. Yes, you can do that in Solr, but you have to do it, Solr will not do it magically for you. Also, post some specific query examples that completely cover the range of queries you need to be able to handle. -- Jack Krupansky On Wed, Jan 28, 2015 at 5:56 AM, thakkar.aayush <thakkar.aay...@gmail.com> wrote: > I have around 1 million job titles which are indexed on Solr and am looking > to improve the faceted search results on job title matches. > > For example: a job search for *Research Scientist Computer Architecture* is > made, and the facet field title which is tokenized in solr and gives the > following results: > > 1. Senior Data Scientist > 2. PARALLEL COMPUTING SOFTWARE ENGINEER > 3. Engineer/Scientist 4 > 4. Data Scientist > 5. Engineer/Scientist > 6. Senior Research Scientist > 7. Research Scientist-Wireless Networks > 8. Research Scientist-Andriod Development > 9. Quantum Computing Theorist Job > 10.Data Sceintist Smart Analytics > > I want to be able to improve / optimize the job titles and be able to make > exclusions and some normalizations. Is this possible with Solr? What is the > best way to have more granular control over the facted search results ? > > For example *Engineer/Scientist 4* - is not useful and too specific and > titles like *Quantum Computing theorist* would ideally also be excluded > > > > -- > View this message in context: > http://lucene.472066.n3.nabble.com/Solr-facet-search-improvements-tp4182502.html > Sent from the Solr - User mailing list archive at Nabble.com. >
