Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation

Research article (Knowledge-Based Systems, 2019) · cited 23× · AI/ML
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Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation

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Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation. Retrieved May 24, 2026, from https://4ort.xyz/entity/autoencoder-based-personalized-ranking-framework-unifying-explicit-and-implicit-feedback-for-accurate-top-n-recommendati
MLA “Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/autoencoder-based-personalized-ranking-framework-unifying-explicit-and-implicit-feedback-for-accurate-top-n-recommendati.
BibTeX @misc{4ortxyz_autoencoder-based-personalized-ranking-framework-unifying-explicit-and-implicit-feedback-for-accurate-top-n-recommendati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/autoencoder-based-personalized-ranking-framework-unifying-explicit-and-implicit-feedback-for-accurate-top-n-recommendati}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation — https://4ort.xyz/entity/autoencoder-based-personalized-ranking-framework-unifying-explicit-and-implicit-feedback-for-accurate-top-n-recommendati (retrieved 2026-05-24)

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