IIT at TREC 2004

[摘要] For TREC2004, we participated in the Terabyte track. We focused on partitioning the data in the GOV2 collection across a homogeneous cluster of machines and indexing and querying the collection in a distributed fashion using differ ent standard retrieval models on a single system, such as the Robertson BM25 probabilistic measure and a vector space measure. Our partitioned indices were each independent of each other, with independent collection statistics and lex icons. We combined the results as if all indices were the same, however, not weighing any one result set more or less

[学科分类] 社会科学、人文和艺术（综合）