Suzan Verberne

Changing Topic Bias in Biomedical Science Maps by Linking Documents Through Alternative Data Sources: Policy Documents, Patents, Authors, Facebook, and Twitter

Abstract Purpose Traditional science maps cluster documents into topics but are inherently biased toward clustering certain topics over others. This study investigates the extent to which topic bias can be influenced through the selection of data sources used to construct documen...

Personalization in professional academic search

In this paper, we investigated how academic search can profit from personalization by incorporating query history and background knowledge in the ranking of the results. We implemented both techniques in a language modelling framework, using the Indri search engine. For our exper...