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Academic Journal

User Response Prediction in Online Advertising.

Subjects: *Internet advertising; *Internet marketing; Deep learning

  • Source: ACM Computing Surveys. May2021, Vol. 54 Issue 3, p1-43. 43p.

  • Abstract: Online advertising, as a vast market, has gained significant attention in various platforms ranging from search engines, third-party websites, social media, and mobile apps. The ...

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Periodical

Learning for the New Digital Age.

Subjects: *Internet; *Labor mobility; Digital technology

  • Source: Communications of the ACM. Sep2014, Vol. 57 Issue 9, p29-31. 3p. 2 Color Photographs.

  • Abstract: The author provides suggestions to help professionals keep up with accelerating changes in digital technology. Topics discussed include the developmental stages ...

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Academic Journal

Dance Interactive Learning Systems: A Study on Interaction Workflow and Teaching Approaches.

Subjects: *Workflow management; *Workflow; *Workflow management systems

  • Source: ACM Computing Surveys. Jun2019, Vol. 52 Issue 3, p1-37. 37p. 9 Color Photographs, 2 Diagrams, 5 Charts, 3 Graphs.

  • Abstract: Motion Capture and whole-body interaction technologies have been experimentally proven to contribute to the enhancement of dance learning and to the ...

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Academic Journal

Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges--A Practitioners' Cookbook.

Subjects: *Big data; *Natural language processing; Deep learning

  • Source: ACM Computing Surveys. Jan2021, Vol. 54 Issue 1, p1-39. 39p. 7 Diagrams, 12 Charts.

  • Abstract: The phenomenon of Big Data continues to present moving targets for the scientific and technological state-of-the-art. This work demonstrates that the solution space of these ...

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Academic Journal

Deep Learning-based Text Classification: A Comprehensive Review.

Subjects: *Sentiment analysis; Deep learning; Natural languages

  • Source: ACM Computing Surveys. May2021, Vol. 54 Issue 3, p1-40. 40p.

  • Abstract: Deep learning-based models have surpassed classical machine learning-based approaches in various text classification tasks, including ...

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Academic Journal

From Server-Based to Client-Based Machine Learning: A Comprehensive Survey.

Subjects: Machine learning; Global optimization; Literature reviews

  • Source: ACM Computing Surveys. Jan2021, Vol. 54 Issue 1, p1-36. 36p. 1 Illustration, 5 Diagrams, 6 Charts.

  • Abstract: In recent years, mobile devices have gained increasing development with stronger computation capability and larger storage space. Some of the computation-intensive machine ...

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Academic Journal

Human Induction in Machine Learning: A Survey of the Nexus.

Subjects: Machine learning; Learning; Generalization

  • Source: ACM Computing Surveys. May2021, Vol. 54 Issue 3, p1-18. 18p.

  • Abstract: As our epistemic ambitions grow, the common and scientific endeavours are becoming increasingly dependent on Machine Learning (ML). The field rests ...

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Academic Journal

Decentralised Learning in Federated Deployment Environments: A System-Level Survey.

Subjects: Learning; Deep learning; Acquisition of data

  • Source: ACM Computing Surveys. Jan2021, Vol. 54 Issue 1, p1-38. 38p. 1 Diagram, 2 Charts, 1 Graph.

  • Abstract: Decentralised learning is attracting more and more interest because it embodies the principles of data minimisation and focused data collection, while ...

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Academic Journal

Machine Learning for Detecting Data Exfiltration: A Review.

Subjects: *Software engineers; *Key performance indicators (Management); *Software engineering

  • Source: ACM Computing Surveys. May2021, Vol. 54 Issue 3, p1-47. 47p.

  • Abstract: Context: Research at the intersection of cybersecurity, Machine Learning (ML), and Software Engineering (SE) has recently taken significant steps in proposing ...

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Academic Journal

When Machine Learning Meets Privacy: A Survey and Outlook.

Subjects: *Artificial intelligence; *Financial technology; Machine learning

  • Source: ACM Computing Surveys. Mar2021, Vol. 54 Issue 2, p31-36. 36p. 9 Diagrams, 5 Charts.

  • Abstract: The newly emerged machine learning (e.g., deep learning) methods have become a strong driving force to ...

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