https://github.com/hanzopgp/pagerankrecommandation
Implementation of a paper about a way to build recommander system using topical pagerank algorithm.
https://github.com/hanzopgp/pagerankrecommandation
deep-learning information-retrieval natural-language-processing pagerank paper-implementation recommander-system topical-pagerank university
Last synced: 10 months ago
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Implementation of a paper about a way to build recommander system using topical pagerank algorithm.
- Host: GitHub
- URL: https://github.com/hanzopgp/pagerankrecommandation
- Owner: hanzopgp
- License: mit
- Created: 2022-03-24T14:14:13.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-11-16T12:45:40.000Z (over 3 years ago)
- Last Synced: 2025-01-16T05:25:06.764Z (over 1 year ago)
- Topics: deep-learning, information-retrieval, natural-language-processing, pagerank, paper-implementation, recommander-system, topical-pagerank, university
- Language: Jupyter Notebook
- Homepage:
- Size: 381 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PageRankRecommandation [Research paper implementation]
Implementation of a paper about a new way to build recommander system using topical page rank algorithm. We test our implementation on MovieLens dataset, and we try to get the same results using DOA metrics.
Dataset link : https://grouplens.org/datasets/movielens/