A Deep Reinforcement Learning Approach to Proactive Content Pushing and Recommendation for Mobile Users

Research article (IEEE Access, 2019) · cited 48× · AI/ML
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A Deep Reinforcement Learning Approach to Proactive Content Pushing and Recommendation for Mobile Users

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A Deep Reinforcement Learning Approach to Proactive Content Pushing and Recommendation for Mobile Users is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Deep Reinforcement Learning Approach to Proactive Content Pushing and Recommendation for Mobile Users. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-to-proactive-content-pushing-and-recommendation-for-mobile-users
MLA “A Deep Reinforcement Learning Approach to Proactive Content Pushing and Recommendation for Mobile Users.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-to-proactive-content-pushing-and-recommendation-for-mobile-users.
BibTeX @misc{4ortxyz_a-deep-reinforcement-learning-approach-to-proactive-content-pushing-and-recommendation-for-mobile-users_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Reinforcement Learning Approach to Proactive Content Pushing and Recommendation for Mobile Users}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-to-proactive-content-pushing-and-recommendation-for-mobile-users}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Reinforcement Learning Approach to Proactive Content Pushing and Recommendation for Mobile Users — https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-to-proactive-content-pushing-and-recommendation-for-mobile-users (retrieved 2026-05-24)

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