Hi everybody, I'm a bit confused and didn't find a clearly stated answer in the documentation.
While analyzing text, Token filters can add data, or custom data to token by the means of Attributes (ex: TypeAttribute, OffsetAttribute, etc..). This information is available to the following filters, but my question is, what makes it to the index ? Do these attributes affect the scoring ? My understanding is that scoring is only based on *tf-idf* criterion with * coord(q,d) *(for which I didn't find documentation) and* normalization*. How is term proximity influencing search results for example ? Thanks for your help, any reading material is appreciated. Nicolas.
