After some investigation, the number of nested docs get counted individually along with the root doc.
On Tuesday, October 21, 2014 4:55:56 PM UTC+1, ba...@intalex.com wrote: > > Thanks for the help Mark. > When calculating relevance can I assume that TF is the number of times > that the term appears in the collapsed nested field? I.e. all of the city > names get merged into one field, or is it handled a different way? Is the > Field Length Norm calculated in the same way? > > Barry > > On Tuesday, October 21, 2014 3:48:15 PM UTC+1, Mark Harwood wrote: >> >> The "score_mode" setting determines how the scores of the various child >> docs are attributed to the parent doc which is the final scored element. >> See >> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-nested-query.html#query-dsl-nested-query >> >> You can for example choose to take the average, max or sum of all the >> child documents that match your nested query and reward the parent doc with >> that value >> >> >> >> On Tuesday, October 21, 2014 9:56:51 AM UTC+1, ba...@intalex.com wrote: >>> >>> Hello, >>> I am having a problem understanding how scoring of nested documents >>> works. I have found other people with similar questions which have remained >>> unanswered: >>> >>> >>> http://stackoverflow.com/questions/25619632/elasticsearch-how-is-the-score-for-nested-queries-computed >>> >>> >>> http://stackoverflow.com/questions/26263562/elasticsearch-boost-score-with-nested-query >>> >>> The relevant section of my current mapping (with nested parts) is: >>> mappings: { >>> >>> person: { >>> properties: { >>> city: { >>> type: nested >>> properties: { >>> visityear: { >>> type: integer >>> } >>> name: { >>> type: string >>> } >>> } >>> } >>> } >>> } >>> >>> } >>> >>> If I have three people who have visited different numbers of cities and >>> I search for a common city they have all visited I get different score >>> values. The person who visited the greatest number of cities is ranked >>> first, with the person who visited only one city getting a score of 1 >>> (currently ranked lowest). The output of the explanation is that hthe score >>> is based on 'child doc range from 0 to x'. My question is how do TF, IDF >>> and Field Norm work for nested documents when the score is being >>> calculated? >>> >>> Many thanks, >>> Barry >>> >> -- 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/d8809201-3806-4a49-9b87-7eb0c2e02dc2%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
