Project strus

[Project strus @ProjectStrus]

I used my time of convalescence to do something completely different: https://t.co/kkh4BktHdy

[Project strus @ProjectStrus]

Wikipedia dump to XML conversion appropriate for text processing and information retrieval. -- work in progress.
https://t.co/QiBMFaefke

[Project strus @ProjectStrus]

New Github project https://t.co/QWfEDaoKDp to simplify out of source builds of Strus.

[Project strus @ProjectStrus]

The demo search on Wikipedia returns 3 results: entities (out of 10M) with a high cosine similarity to the query, popular links, a ranklist.

[Project strus @ProjectStrus]

Development status of Strus changed from 'pre-Alpha' to 'Alpha'.

[Project strus @ProjectStrus]

New version of demo search on Wikipedia (English) https://t.co/4Cuv4i8i6z incl search 10 M vectors with LSH. #word2vec,#intelNUC,#Wikipedia

[Project strus @ProjectStrus]

How to create call traces for debugging and runtime behavior analysis working with the search engine library Strus: https://t.co/wrLdKCUWQo

[Project strus @ProjectStrus]

Wikipedia search (English) running on Intel NUC with Strus: https://t.co/rrSbmqPhjW
@Wikipedia @Wikimedia

[Project strus @ProjectStrus]

Wikipedia search (English) running on Intel NUC with Strus: https://t.co/rrSbmqPhjW
#Wikipedia, #Intelnuc, #Minipc, #Search, #SearchEngine

[Project strus @ProjectStrus]

How to write dynamically loadable modules with your own weighting and summarization functions in C++ for Strus:
https://t.co/jbrOxiWXn1

[Project strus @ProjectStrus]

How to build a scalable search engine with Strus: https://t.co/zYqBs2sQ45

[Project strus @ProjectStrus]

A tutorial for building a search engine with Strus based on Python and the Tornado web framework has been published: https://t.co/WkdAYQfvDf

[Project strus @ProjectStrus]

There is a tutorial on #codeproject that shows how easy it is to write a simple search engine with strus: http://t.co/P9JFkwQcCJ

[Project strus @ProjectStrus]

There is now a #docker container avaiable for http://t.co/N4EaQcUVr2 and a tutorial based on it:
http://t.co/PaL9HvHtHp

[Project strus @ProjectStrus]

Thanx authors of @LevelDB. Its upper bound seek made set joins with minimal disk access & the search engine http://t.co/N4EaQcUVr2 possible.

[Project strus @ProjectStrus]

Read now what distinguishes strus from other open source search engines: http://t.co/UTYdgyWgJ8

[Project strus @ProjectStrus]

Have a look at the demo search engine project of #ProjectStrus at http://t.co/os8G0tkqoD: A search on the Wikipedia collection (english).

[Project strus @ProjectStrus]

Check out http://t.co/N4EaQcUVr2, an alternative to Solr/Lucene, Xapian or Sphinx to build a full text #searchengine !