PubRec: Recommending Publications Based on Publicly Available Meta-Data.
Anas Alzoghbi, Víctor Ayala, Peter M. Fischer, Georg Lausen · OPUS (Augsburg University) · 2015
In recent years we can observe a steady growth of scientific publications in increasingly diverse scientific fields.Current digital libraries and retrieval systems make searching these publications easy, but determining which of these are relevant for a specific person remains a challenge.This becomes even harder if we constrain ourselves to publicly available meta-data, as complete information (in particular the fulltext) is rarely accessible due to licensing issues.In this paper we propose to model researcher profile as a multivariate linear regression problem leveraging meta-data like abstracts and titles in order to achieve effective publication recommendation.We also evaluate the proposed approach and show its effectiveness compared with competing approaches.