Hi All,
I'm new to lucene and a have some questions according to the entire system. I) What is exactly written to the index? Is the index just an inverted list? Is there term weight scoring stored? II) How works the retrieval process work? I guess so: 1) Get all the documents from the index via the inverted list. 2) Compute the score for every document and the query with the similarity class. As far as i can see, the similarity is just based on the tf-ddf weighting? Is there no cosine measure or so used, to compare the document and the query vector? Thanks a lot Klaus
