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Hybrid neural recommendation with joint deep representation learning of ratings and reviews

https://doi.org/10.1016/j.neucom.2019.09.052

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What this work says

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Proceedings of the Eleventh ACM Conference on Recommender Systems

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inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106858openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107018openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108359openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109441openalex-snapshot

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Analysis and control of online interactions through neural natural language processing

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