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.
