Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-Based Recommender Systems. Gao, Z., Shen, T., Mai, Z., Bouadjenek, M. R., Waller, I., Anderson, A., Bodkin, R., & Sanner, S. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, of SIGIR '22, pages 2524–2531, New York, NY, USA, 2022. Association for Computing Machinery.
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Paper doi bibtex 39 downloads
Paper Paper doi bibtex 39 downloads @inproceedings{10.1145/3477495.3531890,
author = {Gao, Zhaolin and Shen, Tianshu and Mai, Zheda and Bouadjenek, Mohamed Reda and Waller, Isaac and Anderson, Ashton and Bodkin, Ron and Sanner, Scott},
title = {Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-Based Recommender Systems},
year = {2022},
isbn = {9781450387323},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3477495.3531890},
doi = {10.1145/3477495.3531890},
booktitle = {Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages = {2524–2531},
numpages = {8},
keywords = {filter bubble, diversity, recommendation systems},
location = {Madrid, Spain},
series = {SIGIR '22},
url_paper = {https://rbouadjenek.github.io/papers/sp1992-gao.pdf}
}Downloads: 39
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