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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 searches.
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 https://lucene.apache.org/core/3_5_0/scoring.html#Score%20Boosting 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 https://www.elastic.co/guide/en/app-search/current/relevance-tuning-guide.html https://enterprise-knowledge.com/how-to-optimize-search-relevance-boosting-and-filtering/
This enhancement will provide a Feature that will benefit all IBM Customer's who use Watson Discovery searches.
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