Hi all, Im still new to Lucene. I'm in the last year of my bachelor degree in Computer Science. My final thesis is about indexing and searching in Lucene 1.4.3. I've read about Space Optimizations for Total Ranking paper. My main question is : 1. What search algorithm Lucene implements? Would it implement inverted index search on the Space Optimizations for Total Ranking paper? 2. Which class in Lucene that uses this search algorithm? 3. About Lucene scoring : score_d = sum_t(tf_q * idf_t/ norm_q*tf_d* idf_t/ norm_d_t) What is the role of norm_d_t? Is it equal to normalization for document(norm_d)? Does lengthNorm affect lucene ranking? It's confusing for me, so I'm hoping you can give us the answer so there wouldn't be any wrong perception about this search algorithm in the future. Thank you for reading my letter. I'm very thankful for your attention. Inge --------------------------------- New Yahoo! Messenger with Voice. Call regular phones from your PC and save big.