Jermaya Leijen

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Google's Information Gain Score: Enhancing Search Results Based on User Interests

1 years ago

Google's Information Gain Score ranks search results by the extra information a page offers to a user who has read similar resources. The score is determined by identifying the initial pages shown, recognizing pages with a common topic, and scoring each new page. Pages are ranked based on these scores, which can be updated as the user views more pages. Tools like Fuzzywuzzy Python package and Perplexity.ai API can help analyze search queries and fill content gaps.

Automate Meta Ads Creative Generation and Uploading

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Markifact automates the creation and uploading of Meta ads using AI. Users generate custom visuals and matching ad copy by writing detailed prompts and uploading reference images. Ads are uploaded in a paused status for review before going live. This tool allows for quick creation of multiple ad variations, adaptation to market trends, and scaling of campaigns without needing extensive design or copywriting resources.