Hi Radu Apologies for not making myself clear.
I would like to know if there is a more simple or efficient way to craft the boosting parameters based on the requirements.
For example, I am using 'if', 'map' and 'termfreq' functions in the bf parameters.
Is there a more efficient or simple function that can be use instead? Or craft the 'formula' it in a more efficient way?
On 7/12/2020 10:05 pm, Radu Gheorghe wrote:
Hi Derek, It’s hard to tell whether your boosts can be made better without knowing your data and what users expect of it. Which is a problem in itself. I would suggest gathering judgements, like if a user queries for X, what doc IDs do you expect to get back? Once you have enough of these judgements, you can experiment with boosts and see how the query results change. There are measures such as nDCG (https://en.wikipedia.org/wiki/Discounted_cumulative_gain#Normalized_DCG) that can help you measure that per query, and you can average this score across all your judgements to get an overall measure of how well you’re doing. Or even better, you can have something like Quaerite play with boost values for you: https://github.com/tballison/quaerite/blob/main/quaerite-examples/README.md#genetic-algorithms-ga-runga Best regards, Radu -- Sematext Cloud - Full Stack Observability - https://sematext.com Solr and Elasticsearch Consulting, Training and Production SupportOn 7 Dec 2020, at 10:51, Derek Poh <d...@globalsources.com.INVALID> wrote: Hi I have added the following boosting requirements to the search query of a page. Feedback from monitoring team is that the overall response of the page has increased since then. I am trying to find out if the added boosting parameters (below) could have contributed to the increased. The boosting is working as per requirements. May I know if the implemented boosting parameters can be enhanced or optimized further? Hopefully to improve on the response time of the query and the page. Requirements: 1. If P_SupplierResponseRate is: a. 3, boost by 0.4 b. 2, boost by 0.2 2. If P_SupplierResponseTime is: a. 4, boost by 0.4 b. 3, boost by 0.2 3. If P_MWSScore is: a. between 80-100, boost by 1.6 b. between 60-79, boost by 0.8 4. If P_SupplierRanking is: a. 3, boost by 0.3 b. 4, boost by 0.6 c. 5, boost by 0.9 b. 6, boost by 1.2 Boosting parameters implemented: bf=map(P_SupplierResponseRate,3,3,0.4,0) bf=map(P_SupplierResponseRate,2,2,0.2,0) bf=map(P_SupplierResponseTime,4,4,0.4,0) bf=map(P_SupplierResponseTime,3,3,0.2,0) bf=map(P_MWSScore,80,100,1.6,0) bf=map(P_MWSScore,60,79,0.8,0) bf=if(termfreq(P_SupplierRanking,3),0.3,if(termfreq(P_SupplierRanking,4),0.6,if(termfreq(P_SupplierRanking,5),0.9,if(termfreq(P_SupplierRanking,6),1.2,0)))) I am using Solr 7.7.2 ---------------------- CONFIDENTIALITY NOTICE This e-mail (including any attachments) may contain confidential and/or privileged information. If you are not the intended recipient or have received this e-mail in error, please inform the sender immediately and delete this e-mail (including any attachments) from your computer, and you must not use, disclose to anyone else or copy this e-mail (including any attachments), whether in whole or in part. This e-mail and any reply to it may be monitored for security, legal, regulatory compliance and/or other appropriate reasons.
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