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IBM Data and AI Ideas Portal for Customers

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Status Not under consideration
Created by Guest
Created on Dec 6, 2022

Watson Discovery query need support for Field relevany boosting / Field relevancy weighing

BMC Customer's are requesting that Watson Discovery query should allow specifying
field relevancy boosting / field relevancy weighing when searching documents - typically for getting
matching passages.

In the absence of this Feature, BMC Customer's are not getting relevant documents in Watson Discovery

Sample use case:
- Discovery documents has Title Field, Keywords Field and other Fields.
- Customer wants to specify that matches on say Title Field are most relevant,
  matches on Keywords Field are of next relevance and so on. 
- This capability is needed with Watson Discovery natural language query.

Customer benefits:
- This capability will give Customer's fine grained control for specifying relative
  relevance of Fields with respect to a Discovery query. 
- This capability will allow Customer's to get most relevant search results based on
  relative importance of Fields with respect to Watson Discovery searches for their
  use cases.

Popular search engines support for Field relevancy boosting / Field weighing.
For your reference, there are popular search engines that allow Field relevancy boosting / Field weighing.
1. Apache Lucene
    Refer the section on "Score Boosting" in following link
    Apache Lucene supports 
    A. Document level boosting
    B. Field level boosting
    C. Query level boosting
2. Elastic search supports Field level boosting
    Refer following links

This enhancement will provide a Feature that will benefit all IBM Customer's who use Watson Discovery searches.

Needed By Month
  • Guest
    Dec 6, 2022

    Weight against the field level relevancy is a great idea and i strongly support this feature.