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  • Understanding Similarity Scoring in Elasticsearch

    In this article, the author discusses the importance of Relevancy Score for developing Search Engine solutions and how to calculate the relevancy score using Elasticsearch's similarity module.

  • Q&A: Relevant Search with Elasticsearch and Solr

    In their book "Relevant Search", Doug Turnbull and John Berryman focus on the challenge of providing search results by balancing the needs and intents of the user. Using Elasticsearch and Solr, relevance engineers can constantly tune the needs of the business vs. the needs of the user.

  • Building Better Search Engines by Measuring Search Quality

    Search engines are developed using standard sets of realistic test cases that let developers measure the relative effectiveness of alternative approaches. This article talks about NIST's Text Retrieval Conference (TREC) project used to create the infrastructure to measure the quality of search results.

  • How Fog Creek Software Made Kiln's Search 1000x Faster with Elasticsearch

    ElasticSearch is an open source, distributed, real-time search and analytics engine. This is the story of how Elasticsearch helped Fog Creek Software make Kiln’s Search 1000x faster.

  • Interview and Book Review: The LogStash Book, Log Management Made Easy

    James Turnbull makes a compelling case for using Logstash for centralizing logging by explaining the implementation details of Logstash within the context of a logging project. The book targets both small companies and large enterprises through a two sided case; both for the low barrier to entry and the scaling capabilities.

  • Using AWS Cloud Search

    Many of today’s applications heavily rely on the search functionality. In this Article Boris Lublinsky explains how to build Java APIs for uploading data and implementing search for Amazon Cloud Search. Usage of these APIs can simplify embedding Amazon Cloud Search functionality into custom applications.

  • Software Engineering Meets Evolutionary Computation

    In this IEEE article, author Mark Harman talks about evolutionary computation and how it has affected software design. Main focus is on search-based software engineering (SBSE), which focuses on the application of search-based optimization techniques to problems in software engineering. Mark also discusses the application of SBSE in emerging areas such as cloud, mobile and embedded systems.

  • Implementing Lucene Spatial Support

    Lucene geospatial extension proposed in this article is based on a two level search – first level search is based on Cartesian Grid search and the second level implements shape specific spatial calculations

  • Integrating Lucene with HBase

    The article describes overall design and implementation of integrating Lucene search library with HBase back end. It describes integration architecture, implementation and HBase tables design

  • Switching from Java to Scala

    Citing a need to be able to respond faster to events, and disappointment in the feature set and timeframe for Java 7, the team behind is using Scala as an alternative to Java for their new projects. InfoQ spoke to Web Platform Development Team Lead Graham Tackley about their current stack, the reasons behind the move, and the experience of using Scala in large-scale development.

  • LinkedIn Signal: A Case Study for Scala, JRuby and Voldemort

    On September 29th LinkedIn Signal was announced, providing a social search application both for LinkedIn shares and tweets from LinkedIn-Twitter bounded accounts. This article aims to provide more insight into the motivation and technical challenges of combining Scala, JRuby and Voldemort, at such scale.

  • Finding an Agile Employer

    The rocky job market of the last couple years has left many people looking for work. Agile software development is appealing to many job seekers, but not all jobs are alike. If you want a job in Agile software development, using a framework like Scrum, you need a plan of action that spans all three phases of your job search: reseach/preparation, interviewing, and assessing your opportunities.