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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.09295 |
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Table of Contents:
- In this contribution, we deal with seed-based information retrieval in networks of research publications. Using systematic reviews as a baseline, and publication data from the NIH Open Citation Collection, we compare the performance of the three citation-based approaches direct citation, co-citation, and bibliographic coupling with respect to recall and precision measures. In addition, we include the PubMed Related Article score as well as combined approaches in the comparison. We also provide a fairly comprehensive review of earlier research in which citation relations have been used for information retrieval purposes. The results show an advantage for co-citation over bibliographic coupling and direct citation. However, combining the three approaches outperforms the exclusive use of co-citation in the study. The results further indicate, in line with previous research, that combining citation-based approaches with textual approaches enhances the performance of seed-based information retrieval. The results from the study may guide approaches combining citation-based and textual approaches in their choice of citation similarity measures. We suggest that future research use more structured approaches to evaluate methods for seed-based retrieval of publications, including comparative approaches as well as the elaboration of common data sets and baselines for evaluation.