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Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet

Research article (PLoS ONE, 2021) · cited 33× · AI/ML
academia openalex:W3161775899
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Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet

Summary

Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet is a scholarly article[1].

Key Facts

  • Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet. Retrieved May 24, 2026, from https://4ort.xyz/entity/multitask-feature-learning-approach-for-knowledge-graph-enhanced-recommendations-with-ripplenet
MLA “Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multitask-feature-learning-approach-for-knowledge-graph-enhanced-recommendations-with-ripplenet.
BibTeX @misc{4ortxyz_multitask-feature-learning-approach-for-knowledge-graph-enhanced-recommendations-with-ripplenet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet}}, year = {2026}, url = {https://4ort.xyz/entity/multitask-feature-learning-approach-for-knowledge-graph-enhanced-recommendations-with-ripplenet}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet — https://4ort.xyz/entity/multitask-feature-learning-approach-for-knowledge-graph-enhanced-recommendations-with-ripplenet (retrieved 2026-05-24)

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