By Randy Johnson
•
22 Jul, 2023
When we type a query in a search engine, we expect to get the most relevant results. But with personalized search results, search engines use data from previous searches, clicks, and other online activities to tailor the results according to our preferences.
Search engines take into account past search history, geographical location, and even social media activity. AI plays a significant role in shaping personalized search results, making them more accurate and efficient. With machine learning, AI algorithms can detect patterns and understand the user's intent.
For instance, Google's RankBrain uses AI to analyze and match queries with relevant results, considering over 200 ranking factors to ensure the results are relevant and personalized.
Personalized search results benefit both the users and the businesses. For users, personalized results mean they get more relevant results and users can find what they are searching for quickly. On the other hand, businesses benefit from personalized search results.