Context-Based Statistical Sub-Spaces TREC-6 Notebook Paper
نویسنده
چکیده
Principal Components Analysis (PCA) is the multivariate statistical technique employed to extract eigenvectors and eigenvalues from the contextual query co-occurrence matrix.
منابع مشابه
Experiments on the TREC-8 Filtering Track
For this year's TREC, KDD R&D Laboratories focused on the adaptive ltering experiments of the Filtering Track. The main focus of our research was the development and evaluation of the pro le updating algorithm. Our pro le updating algorithm is based on the query expansion method based on word contribution[1][2]. Given manual feedback, our QE method has achieved high performance in the ad hoc tr...
متن کاملOverview of the TREC 2010 Relevance Feedback Track (Notebook)
This year the relevance feedback track further examined relevance feedback with a single document relevance feedback task. Seven groups participated in the track. At this time, relevance judging is on-going and no results are available. This notebook version of the track describes the track, presents the current status of the track, and includes participant summaries.
متن کاملWebis at the TREC 2012 Session Track Extended Abstract for the Conference Notebook
In this paper we give a brief overview of the Webis group’s participation in the TREC 2012 Session track. Our runs implement three main ideas: (1) distinguishing low risk sessions where we want to involve session knowledge in the form of a conservative query expansion strategy (only few expansion terms based on keywords from previous queries and seen/clicked documents/titles/snippets) from thos...
متن کامل