Project strus (@ProjectStrus) header
Project strus (@ProjectStrus) profile picture
Zurich, Switzerland
Joined June 2015
Photo by Project strus (@ProjectStrus)
I used my time of convalescence to do something completely different: mewa.cc
Wikipedia dump to XML conversion appropriate for text processing and information retrieval. -- work in progress. project-strus.net/wikipediaT…
The demo search on Wikipedia returns 3 results: entities (out of 10M) with a high cosine similarity to the query, popular links, a ranklist.
Development status of Strus changed from 'pre-Alpha' to 'Alpha'.
New version of demo search on Wikipedia (English) bit.ly/2kBwv66 incl search 10 M vectors with LSH. #word2vec,#intelNUC,#Wikipedia
How to create call traces for debugging and runtime behavior analysis working with the search engine library Strus: bit.ly/1Zds7IR
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Wikipedia search (English) running on Intel NUC with Strus: bit.ly/1pL27c7 @Wikipedia @Wikimedia
Wikipedia search (English) running on Intel NUC with Strus: bit.ly/1pL27c7 #Wikipedia, #Intelnuc, #Minipc, #Search, #SearchEngine
How to write dynamically loadable modules with your own weighting and summarization functions in C++ for Strus: codeproject.com/Articles/107…
How to build a scalable search engine with Strus: codeproject.com/Articles/106…
A tutorial for building a search engine with Strus based on Python and the Tornado web framework has been published: codeproject.com/Articles/105…
There is a tutorial on #codeproject that shows how easy it is to write a simple search engine with strus: codeproject.com/Articles/100…
There is now a #docker container avaiable for project-strus.net and a tutorial based on it: project-strus.net/tutorial_M…
Thanx authors of @LevelDB. Its upper bound seek made set joins with minimal disk access & the search engine project-strus.net possible.
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Read now what distinguishes strus from other open source search engines: project-strus.net/story.htm
Have a look at the demo search engine project of #ProjectStrus at patrickfrey.dyndns.org/strus…: A search on the Wikipedia collection (english).
Check out project-strus.net, an alternative to Solr/Lucene, Xapian or Sphinx to build a full text #searchengine !