What you need to know

The Google Ads landscape continues to evolve, with a growing emphasis on data usage that complies with strict privacy guidelines. To support advertisers navigating this environment, Google introduced a robust toolset designed to advance their AI-driven marketing strategies. A key part of this transformation is Ads Data Hub (ADH), a platform built on Google Cloud….

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The future of keyword targeting

Are you a search marketer looking to expand your reach and drive even more impactful results? Look no further. Join us for How Search Marketing Turned the Tide for CTV Audience Targeting and learn how your existing search marketing expertise can be a valuable asset on this powerful advertising platform. Connected TV (CTV) has a new feature that…

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5 ways to scale global search management

Relying solely on content and technical SEO is no longer enough to achieve sustainable success, especially for businesses operating in multiple markets. While these elements are crucial, they fail to fully account for the diverse factors influencing a website’s global performance. The complexities of managing SEO across different regions, languages and market conditions add layers…

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Drive ecommerce growth with proven personalization strategies

Learn how personalization can boost average order value, click-through rates, and customer satisfaction, leading to increased engagement and loyalty. Edna Chavira on September 25, 2024 at 11:30 am | Reading time: 1 minute SearchBot is thinking … Discover how personalization can revolutionize your e-commerce business. Join our Martech webinar, Personalization at Scale: A Blueprint for Global…

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Google updates its spam policies document

Google has updated its spam policies documentation as part of a routine refresh while also adding more details around the site reputation abuse policy and expanding and clarifying other areas of its search spam policies and guidelines. Why the change. Google wrote, “We review and refresh our documentation periodically. This update is part of that…

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Iteration of Thought: An AI Framework for Enhancing LLM Responses by Generating “thought”-Provoking Prompts

  Large Language Models (LLMs) have revolutionized natural language processing, enabling AI systems to perform a wide range of tasks with remarkable proficiency. However, researchers face significant challenges in optimizing LLM performance, particularly in human-LLM interactions. A critical observation reveals that the quality of LLM responses tends to improve with repeated prompting and user feedback….

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Simplifying Diffusion Models: Fine-Tuning for Faster and More Accurate Depth Estimation

  Monocular depth estimation (MDE) plays an important role in various applications, including image and video editing, scene reconstruction, novel view synthesis, and robotic navigation. However, this task poses significant challenges due to the inherent scale distance ambiguity, making it ill-posed. Learning-based methods should utilize robust semantic knowledge to achieve accurate results and overcome this…

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