Information Space Based on HTML Structure

The main goal for the Information Space system for TREC9 was early precision. To facilitate this, an emphasis was placed on seeking matches from only the TITLE, H1, H2 and H3 tags in the Web (wt10G) and large Web (wt100) document collections. Ranking of documents was based on a combination of Boolean union sets, term weights, and principal components analysis (PCA). Very large sparse cooccurrence matrices were created for term weighting and PCA. The Information Space system is part of a larger general software package called IRTools.

• Type: Conference
• Year: 2000
• Where: TREC
• Authors: Gregory B. Newby
• Keywords: Information Space, Principal Components Analysis, Sparse Cooccurrence Matrices, TREC 2000, TREC 2008