Hi, I'm trying to search across multiple indexes and I couldn't understand the result of the TF/TDF function. I didn't expect for the indexes where the term is more frequent to get penalized.
Here follows an example: https://gist.github.com/luizgpsantos/9216108 When searching for the term "alice" the document {"_index": "index2", "_type": "type", "_id": "1"} got a score 0.8784157 while {"_index": "index1", "_type": "type", "_id": "1"} got a score 0.4451987. In my use case I got one index about sports and another about celebrities and when I search for a celebrity documents across sports and celebrities indexes, results from sports index tend to appear in first place due to the explanation above (we have few celebrities documents in sports index). But the point is that when searching for a celebrity I would expect results from the celebrity index. Is there any way to calculate the score not penalizing indexes where the frequency of a term is higher? Cheers, -- Luiz Guilherme P. Santos -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to elasticsearch+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/CAMdL%3DZGe4ywgNX0JaBjQQ0HAc9_CQ-iz0trZ7vbqT4CVvizmpQ%40mail.gmail.com. For more options, visit https://groups.google.com/groups/opt_out.
