Enhancing digital libraries with TechLens

Roberto Torres, Sean M. McNee, Mara Abel, Joseph A. Konstan, John Riedl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

160 Scopus citations

Abstract

The number of research papers available is growing at a staggering rate. Researchers need tools to help them find the papers they should read among all the papers published each year. In this paper, we present and experiment with hybrid recommender algorithms that combine Collaborative Filtering and Content-based Filtering to recommend research papers to users. Our hybrid algorithms combine the strengths of each filtering approach to address their individual weaknesses. We evaluated our algorithms through offline experiments on a database of 102,000 research papers, and through an online experiment with 110 users. For both experiments we used a dataset created from the CiteSeer repository of computer science research papers. We developed separate English and Portuguese versions of the interface and specifically recruited American and Brazilian users to test for cross-cultural effects. Our results show that users value paper recommendations, that the hybrid algorithms can be successfully combined, that different algorithms are more suitable for recommending different kinds of papers, and that users with different levels of experience perceive recommendations differently. These results can be applied to develop recommender systems for other types of digital libraries.

Original languageEnglish (US)
Title of host publicationProceedings of the Fourth ACM/IEEE Joint Conference on Digital Libraries; Global Reach and Diverse Impact, JCDL 2004
EditorsH. Chen, M. Christel, E.P. Lim
Pages228-236
Number of pages9
StatePublished - Oct 18 2004
EventProceedings of the Fourth ACM/IEEE Joint Conference on Digital Libraries; Global reach and Diverse Impact, JCDL 2004 - Tucson, AZ, United States
Duration: Jun 7 2004Jun 11 2004

Publication series

NameProceedings of the ACM IEEE International Conference on Digital Libraries, JCDL 2004

Other

OtherProceedings of the Fourth ACM/IEEE Joint Conference on Digital Libraries; Global reach and Diverse Impact, JCDL 2004
CountryUnited States
CityTucson, AZ
Period6/7/046/11/04

Keywords

  • Collaborative Filtering
  • Content-Based Filtering
  • Digital Libraries
  • Hybrid Recommender Systems

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