Improving selection diversity using hybrid graph-based news recommenders
Author:
Funder
Universiteit Gent
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11257-024-09399-w.pdf
Reference72 articles.
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4. Agarwal, D., Chen, B.C.: FLDA: matrix factorization through latent Dirichlet allocation. In: Proceedings of the Third ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, New York, NY, USA, WSDM ’10, pp. 91–100. https://doi.org/10.1145/1718487.1718499 (2010)
5. Agrawal, R., Gollapudi, S., Halverson, A., et al.: Diversifying search results. In: Proceedings of the Second ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, New York, NY, USA, WSDM ’09, pp. 5–14. https://doi.org/10.1145/1498759.1498766 (2009)
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