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The user dictionary functionality of Solr's Kuromoji tokenizer is extremely useful and easy to use, but it isn't always the right tool for the job. In my case, I'm migrating our system off of the MeCab tokenizer. MeCab also allows you customize the tokenization, but the two models are completely different. In Kuromoji's user dictionary, you take an untokenized phrase and provide the custom tokeniz
In the latest release of Apache Solr (4.2), support for DocValue field types were added. DocValues have been in the works in Lucene for a while (~5 years), also under the name âcolumn stride fieldsâ, but recently have become stable enough to incorporate into Solr. For those of you not familiar with the Lucene lingo, DocValues are column-oriented fields. In other words, values of DocValue fields ar
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31 Oct Better synonym handling in Solr Posted October 31, 2012 by Nolan Lawson in NLP. Tagged: information retrieval, lucene, nlp, query expansion, solr, synonyms. 88 Comments Update: Download the plugin on Github. Itâs a pretty common scenario when working with a Solr-powered search engine: you have a list of synonyms, and you want user queries to match documents with synonymous terms. Sounds eas
This reference guide describes Apache Solr 4, an open source solution for search. You can download Apache Solr from the Solr website at http://lucene.apache.org/solr/. This Guide contains the following sections: Getting Started: This section guides you through the installation and setup of Solr. Using the Solr Administration User Interface: This section introduces the Solr Web-based user interface
第9åSolråå¼·ä¼ ã«è¡ã£ã¦ãã¾ããã æ¥æ¬èªè§£æã®è©±ãWeb ãµã¼ãã¹ã«ãããéç¨ã®è©±ãã¡ã¤ã³ã§ããã å®ãµã¼ãã¹ã§ãã£ããã¨å©ç¨ããã¦ãããã ãªããã¨å®æã§ããåå¼·ä¼ã§ããã ã¾ã¨ããã¬ãã¼ããªã©ãç¸å¤ãããæ©ãã§ããã 2012/11/26(#solrjp)第9åSolråå¼·ä¼ (togetter ã¾ã¨ã) 第9åSolråå¼·ä¼ã主å¬ãã¾ããã#SolrJP (@johtani ã®æ¥è¨) Who we are, what we do, and a little bit about Kuromoji Atilika Inc. ã® Christian Moenãã Atilika ã®ã³ã¢ã¯ search engine, big data analysis, NLP ã®ï¼æ¬ç«ã¦ã 製åãéçºãã¦ã³ã³ãµã«ãã£ã³ã°ãããã£ã½ããcustomer-driven innovation ã¨ç§°ããã¢
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æ¥æ¬èªWikipediaãªã©ã®ãè¾æ¸åã³ã¼ãã¹ãããLucene/Solrç¨ã®é¡ç¾©èªè¾æ¸ãèªåä½æããã·ã¹ãã ãéçºãã¾ããã®ã§ãç°¡åã«ãç´¹ä»ãã¾ãã åèè³æï¼SlideShareï¼ è¾æ¸åã³ã¼ãã¹ããã®é¡ç¾©èªç¥èã®èªåç²å¾ï¼SlideShareï¼ Lucene/Solrã¨é¡ç¾©èªæ¤ç´¢ Lucene/Solrã§ã¯SynonymFilterã使ã£ã¦é¡ç¾©èªæ¤ç´¢ãç°¡åã«å®ç¾ãããã¨ãã§ãã¾ãããã¨ãã°æ¬¡ã®ãããªå 容ã®synonyms.txtãç¨æãï¼ èªåè»æå®³è³ å責任ä¿éº, èªè³ 責ä¿éº Solrã®schema.xmlãã¡ã¤ã«ã«æ¬¡ã®ãããªãã£ã¼ã«ãåãå®ç¾©ããã°ï¼ <fieldType name="text_ja" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.Japane
âSolr or Elasticsearch?ââ¦well, at least that is the common question we hear from Sematextâs consulting services clients and prospects. Which one is better, Solr or Elasticsearch? Which one is faster? Which one scales better? Which one is easier to manage? Which one should we use? Is there any advantage to migrating from Solr to Elasticsearch? â and the list goes on. These are all great questions,
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