Lucene 4 Cookbook

Ng, Edwood, Mohan, Vineeth

ISBN 10: 1782162283 / ISBN 13: 9781782162285

Published by Packt Publishing, 2015

About this Item

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Seller Inventory # ERICA76517821622835

Bibliographic Details

• Title: Lucene 4 Cookbook
• Publisher: Packt Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 1782162283
• ISBN 13: 9781782162285
• Binding: Paperback
• Condition: Like New
• Book Type: book

About this title

Synopsis

If you are a competent developer with experience of working with technologies similar to Lucene and want to develop efficient search applications, then this book is for you. Familiarity with the Java programming language is required.

About the Authors

Edwood Ng is a technologist with over a decade of experience in building scalable solutions from proprietary implementations to client-facing web-based applications. Currently, he's the director of DevOps at Wellframe, leading infrastructure and DevOps operations. His background in search engine began at Endeca Technologies in 2004, where he was a technical consultant helping numerous clients to architect and implement faceted search solutions. After Endeca, he drew on his knowledge and began designing and building Lucene-based solutions. His first Lucene implementation that went to production was the search engine behind http://UpDown.com. From there on, he continued to create search applications using Lucene extensively to deliver robust and scalable systems for his clients. Edwood is a supporter of an open source software. He has also contributed to the plugin sfI18NGettextPluralPlugin to the Symphony project.

Vineeth Mohan is a data scientist whose major expertise lies in search analytics and data science. His career started at Yahoo! India, working with a team facilitated by a real-time feed processing platform based on Hadooop across all verticals in Yahoo!. He was also in the team that migrated Right Media technologies to Yahoo! stack. He then moved to Algotree, where he worked across many data science projects such as technical pattern detection in TimeSeries. Later, he designed a real-time news analysis platform based on natural language processing and machine learning approaches. He was also the architect of the search solution for this. Vineeth is passionate about Big Data and data science and has extensive knowledge and experience in Elasticsearch/Solr/Lucene and algorithm design.