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Computing advertising intelligent computing and push based on artificial intelligence in the big data era.

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  • 1College of Humanities and Communication, Sanya University, Sanya, 572000, Hainan, China.

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Summary
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Artificial intelligence (AI) enhances advertising by enabling intelligent computation and precise ad targeting. AI-based algorithms significantly improve return on investment (ROI) compared to traditional methods, leading to higher advertiser profits.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Data Science

Background:

  • The shift to digital and mobile advertising necessitates advanced methods beyond manual targeting.
  • Vast data volumes and user groups make traditional ad filtering ineffective.
  • Artificial intelligence (AI) offers solutions for intelligent computation and precise ad targeting.

Purpose of the Study:

  • To explore AI applications for intelligent advertisement computation, filtering, and targeting.
  • To enhance advertising effectiveness and user experience through AI.
  • To optimize ad targeting and increase profitability.

Main Methods:

  • Comparative analysis of ad campaigns between a control group (Group A) and an AI-targeted group (Group B).
  • Utilized AI-based targeting algorithms for Group B's ad campaigns.
  • Measured and compared the return on investment (ROI) for different ad categories.

Main Results:

  • Group B (AI-based targeting) demonstrated higher average ROI across tourism (173.96% vs 153.03%), shopping (288.74% vs 232.32%), and rental ads (216.12% vs 192.57%) compared to Group A.
  • AI-driven ad targeting significantly outperformed non-algorithmic approaches.
  • Improved ad effectiveness and profitability were observed with AI implementation.

Conclusions:

  • AI-based ad targeting algorithms substantially enhance campaign ROI.
  • Advertisers can achieve greater profitability by adopting AI for ad targeting.
  • AI is crucial for effective advertising in the era of big data.