Haruna, K. and Ismail, M.A. and Damiasih, D. and Sutopo, J. and Herawan, T. (2017) A collaborative approach for research paper recommender system. PLoS ONE, 12 (10). e0184516. ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0184516.
Full text not available from this repository.Abstract
Research paper recommenders emerged over the last decade to ease finding publications relating to researchers’ area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collaborative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommendations. The novelty of our proposed approach is that it provides personalized recommendations regardless of the research field and regardless of the user’s expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Cooperative Behavior; Metadata; Publishing; Research |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 07 Sep 2018 01:12 |
| Last Modified: | 07 Sep 2018 01:12 |
| URI: | http://eprints.um.edu.my/id/eprint/19172 |
Actions (login required)
 |
View Item |
