📌 AI for Search Summary
AI for Search refers to the use of artificial intelligence techniques to improve how information is found and ranked in digital systems. Instead of relying only on exact keyword matches, AI can understand the meaning behind queries and suggest results that are more relevant to users. This approach can handle complex or conversational questions and can learn from user interactions to get better over time.
🙋🏻♂️ Explain AI for Search Simply
Think of AI for Search like having a smart librarian who not only knows where every book is but also understands what you are really looking for, even if you do not use the perfect words. Instead of just matching titles, this librarian can guess what you mean and suggest the best options based on your interests and questions.
📅 How Can it be used?
A company could use AI for Search to help customers quickly find products on their website, even with vague or misspelt queries.
🗺️ Real World Examples
Online retail platforms use AI-powered search engines to help shoppers find products, even if they do not remember the exact product name. For example, a customer searching for comfy running shoes might see relevant trainers, even if they type jogging footwear or make spelling mistakes.
Large knowledge bases, such as those used by customer support teams, employ AI for Search to help agents quickly retrieve answers to customer questions, even when queries are phrased in different ways or contain slang.
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