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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/2407.05836 |
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| _version_ | 1866916315797651456 |
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| author | Church, Kenneth Alonso, Omar Vickers, Peter Sun, Jiameng Ebrahimi, Abteen Chandrasekar, Raman |
| author_facet | Church, Kenneth Alonso, Omar Vickers, Peter Sun, Jiameng Ebrahimi, Abteen Chandrasekar, Raman |
| contents | We argue that Content-based filtering (CBF) and Graph-based methods (GB) complement one another in Academic Search recommendations. The scientific literature can be viewed as a conversation between authors and the audience. CBF uses abstracts to infer authors' positions, and GB uses citations to infer responses from the audience. In this paper, we describe nine differences between CBF and GB, as well as synergistic opportunities for hybrid combinations. Two embeddings will be used to illustrate these opportunities: (1) Specter, a CBF method based on BERT-like deepnet encodings of abstracts, and (2) ProNE, a GB method based on spectral clustering of more than 200M papers and 2B citations from Semantic Scholar. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_05836 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Academic Article Recommendation Using Multiple Perspectives Church, Kenneth Alonso, Omar Vickers, Peter Sun, Jiameng Ebrahimi, Abteen Chandrasekar, Raman Information Retrieval We argue that Content-based filtering (CBF) and Graph-based methods (GB) complement one another in Academic Search recommendations. The scientific literature can be viewed as a conversation between authors and the audience. CBF uses abstracts to infer authors' positions, and GB uses citations to infer responses from the audience. In this paper, we describe nine differences between CBF and GB, as well as synergistic opportunities for hybrid combinations. Two embeddings will be used to illustrate these opportunities: (1) Specter, a CBF method based on BERT-like deepnet encodings of abstracts, and (2) ProNE, a GB method based on spectral clustering of more than 200M papers and 2B citations from Semantic Scholar. |
| title | Academic Article Recommendation Using Multiple Perspectives |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2407.05836 |