I am new to lucene/solr.
Information Retrieval books describe a very simple retrieval pipeline,
where you represent documents and queries by features. For example, the
average embedding of words in a document or query. Then use a cosine
similarity to find the most similar document to a query.
These IR books give examples of calculating features (typically in Python).
What is the equivalent in Lucene/Solr ?
Do I need to code a plug-in ?
Any examples handy ?
Thanks for your patience !
--
Kent
Information Retrieval books describe a very simple retrieval pipeline,
where you represent documents and queries by features. For example, the
average embedding of words in a document or query. Then use a cosine
similarity to find the most similar document to a query.
These IR books give examples of calculating features (typically in Python).
What is the equivalent in Lucene/Solr ?
Do I need to code a plug-in ?
Any examples handy ?
Thanks for your patience !
--
Kent