Background: I'm using Solr as a mechanism for search for users, but before even getting to that point as a means of intelligent inference more or less. Product data comes in and we're hoping to match it to the correct known product without having to use the user for confirmation/search.
Problem: I get a maxScore (with the correct result at the top) of 618.22626 using the manufacturer's name, the product number, and the product description. All of these items are coming from a previous purchaser so we have to account for manufacturer name variations, miskeying of product numbers, and variances of descriptions. The maxScore is 772 when I remove the description. My initial question is regarding relevancy scoring ( https://wiki.apache.org/solr/SolrRelevancyFAQ). I get that many of the description's tokens will be found throughout the other documents, thus keeping the relevancy at bay per the IDF portion of the relevancy score. I suppose the actual question, then, is if a low relevancy score on one field hurts the rest of them / the cumulative score, or if it simply keep that field's contribution lower than it'd otherwise be. I thought it was the latter, but the results I mention above are making me think that the first scenario is actually the case. Based on what I hear about the above, a follow up question may be what in the world is wrong with my analyzer :) Thanks for any thoughts! Best, John
