Identify user search intent with machine learning | Algolia

Time is a valuable nonrenewable resource, and irrelevant ads can be annoying and wasteful. Simplistic age-based targeting strategies are often stereotypical and limiting, leading to an unsatisfactory user experience. Companies can optimize their marketing budget by leveraging AI to understand user search intent, which provides specific insights without being intrusive. By processing trillions of searches each year, Google's algorithm has come to understand the intent behind each query, making it essential for companies to focus on user search intent optimization. This involves building a keyword list, data mining, and categorizing keywords based on their intent type (informational, transactional, navigational, or consideration). AI can help predict user search intent by transforming queries into mathematical equivalents using natural language processing tools like GloVe or FastText. The resulting model can be trained to predict user intent for new queries and improve marketing strategies.