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DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation

Research article (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019) · cited 24× · AI/ML
academia openalex:W2965442184
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DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation

Summary

DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation is a scholarly article[1].

Key Facts

  • DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepapf-deep-attentive-probabilistic-factorization-for-multi-site-video-recommendation
MLA “DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepapf-deep-attentive-probabilistic-factorization-for-multi-site-video-recommendation.
BibTeX @misc{4ortxyz_deepapf-deep-attentive-probabilistic-factorization-for-multi-site-video-recommendation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/deepapf-deep-attentive-probabilistic-factorization-for-multi-site-video-recommendation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation — https://4ort.xyz/entity/deepapf-deep-attentive-probabilistic-factorization-for-multi-site-video-recommendation (retrieved 2026-05-24)

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