Stand by for five exciting tales from the Martian past and future! This collection of science fiction is by the author of The Man Who Conquered Mars and Jupiter IV. Open this book and experience these unusual and thought provoking stories! The Mars Corporation is establishing a permanent colony on Mars. Hector Rodriguez along with Helen Meers are tasked with constructing the human habitats and support facilities from Earth-using robots. Mars colony will be up and running before Hector and forty-nine other intrepid pioneers arrive at their new home. And home it will be: because this is a one-way trip! Rocky and Augie passed their Scout First Aid class, but their skills are put to the test when a medical emergency arises during an overnight campout in a Martian cave. Aviation pioneer Titus Andronicus Scott perished in 1956 when an experimental aircraft he was flying crashed into the Pacific Ocean. Or did he? Neither Scott nor his aircraft were ever found. Learn the story behind the story in this biographical mystery. Who is that woman in the back seat of the Mars rover and why is she clutching a metal cylinder so tightly? Join four Mars colonists as they travel across the vast Martian desert on a mysterious mission. Elderly shipping tycoon Andrew Smithers recalls his long life as a Mars colonist while exploring a cavern he visited as a young man. See what the next century of life on Mars could be like through the eyes of one who lived it.

Footprints in Red

Science Fiction & Fantasy

Turnbull, Doug

Science Fiction

CreateSpace Independent Publishing Platform

We Are The Martians: A Guide for the Colonization of the Planet Mars

Science & Math

Wright, Bill

Astronomy & Space Science

Summary Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Users are accustomed to and expect instant, relevant search results. To achieve this, you must master the search engine. Yet for many developers, relevance ranking is mysterious or confusing. About the Book Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You'll learn how to apply Elasticsearch or Solr to your business's unique ranking problems. The book demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization. In practice, a relevance framework requires softer skills as well, such as collaborating with stakeholders to discover the right relevance requirements for your business. By the end, you'll be able to achieve a virtuous cycle of provable, measurable relevance improvements over a search product's lifetime. What's Inside <ul>
<li>Techniques for debugging relevance?</li>
<li>Applying search engine features to real problems?</li>
<li>Using the user interface to guide searchers?</li>
<li>A systematic approach to relevance?</li>
<li>A business culture focused on improving search</li>
</ul>
 About the Reader For developers trying to build smarter search with Elasticsearch or Solr. About the Authors Doug Turnbull is lead relevance consultant at OpenSource Connections, where he frequently speaks and blogs. John Berryman is a data engineer at Eventbrite, where he specializes in recommendations and search. Foreword author, Trey Grainger, is a director of engineering at CareerBuilder and author of Solr in Action. Table of Contents <ol>
<li>The search relevance problem </li>
<li>Search under the hood </li>
<li>Debugging your first relevance problem </li>
<li>Taming tokens </li>
<li>Basic multifield search </li>
<li>Term-centric search </li>
<li>Shaping the relevance function </li>
<li>Providing relevance feedback </li>
<li>Designing a relevance-focused search application</li>
<li>The relevance-centered enterprise </li>
<li>Semantic and personalized search</li>
</ol>

Relevant Search: With applications for Solr and Elasticsearch

Computers & Technology

BERRYMAN, John

Computer Science

Manning

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.\nGreat 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.\nPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\nAbout 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.\nAbout the book 
AI-Powered Search is an authoritative guide to applying leading-edge data science techniques to search. It teaches you how to build search engines that automatically understand the intention of a query in order to deliver significantly better results. Author Trey Grainger helped develop numerous algorithms now transforming search, and is an expert on leading techniques for crowdsourced relevancy and semantic search. Working through code in interactive notebooks, you’ll deploy intelligent search systems that deliver real-time personalization and contextual understanding of each user, domain, and query through a self-learning search platform that can tune its own results automatically.\nWhat'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.\nAbout the author 
Trey Grainger is the Chief Algorithms Officer at Lucidworks, the AI-powered search company that powers hundreds of the world’s leading organizations. Trey co-authored Solr in Action and has over 12 years experience building semantic search engines, recommendation engines, real-time analytics systems, and leading related engineering and data science teams.

AI-Powered Search

Grainger, Trey

Irwin, Max

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