Rank Aggregation in Scientific Publication Databases Based on Logistic Regression

The goal of the d-Rank project is to study rank aggregation in scientific publication databases. In our work we focus in particular on document ranking in the domain of particle physics and we work with the collection of CERN publications called the CERN Document Server. In this report we present the main advances achieved within the second phase of the project. The most important achievements notably include a c reation of an extended CDS referential as an IR evaluation resource, implementation of two d-Rank software modules for query parsing and document ranking and creation of a rank aggregation framework based on logistic regression.