Update: I actually don't understand why if the scores are substantially the cosine similarity between query and the docs, such scores are not comparable between queries.
Isn't cosine similarity describing the divergence between vectors ? If I have vector A and B (my queries) and vector C (a doc), can't I say which vector is more similar to vector C by considering the score ? In other words, can't I compare the scores ? I'm asking this because I've been told I cannot compare the score of a query with the score of another one. Furthermore, my queries are docs from the collection: I compare 1 doc from the Collection against all other docs. I need some more info about this... thanks On 26 March 2011 15:57, Patrick Diviacco <patrick.divia...@gmail.com> wrote: > I'm performing several queries and I get scores per each document which I > have been told being not comparable across queries. > > For example, if I get score: 8.234234 for a specific document from a query > A, I cannot compare such score with the document score: 3.342432 of the > query B. > > However I need to find a comparable score across queries, and more > specifically the cosine similarity... as similarity measure between my query > document and the documents in the collection. > > could you give me some tip about it ? > thanks >
