AI-Powered Search (MEAP V17)

Great search is all about delivering the right results. Today’s search engines are expected to be smart, understanding the nuances of natural language queries, as well as each user’s preferences and context. AI-Powered Search teaches you the latest machine learning techniques to create search engines that continuously learn from your users and your content, to drive more domain-aware and intelligent search. Written by Trey Grainger, the Chief Algorithms Officer at Lucidworks, this authoritative book empowers you to create and deploy search engines that take advantage of user interactions and the hidden semantic relationships in your content to constantly get smarter and automatically deliver better, more relevant search experiences. About the technology The search box has become the de facto user interface for modern data-driven applications. Users expect software to fully understand their search inputs, context, and activity, and to return the right answers every time. Fortunately, you no longer need a massive team manually adjusting relevancy parameters to deliver optimal search results. Using the power of AI, you can develop search solutions that dynamically learn from your content and users, constantly getting smarter and delivering better answers. What's inside • Using reflected intelligence to continually learn and improve search relevancy • Natural language search with automatically-learned knowledge graphs • Semantic search with domain-specific terms, phrases, concepts, and relationships • Personalized search utilizing user behavioral signals and learned user profiles • Automated Learning to Rank (machine-learned ranking) from user signals • Word embeddings, vector search, question answering, image and voice search, and other modern search paradigms About the reader For software developers or data scientists familiar with the basics of search engine development.