What is correct use of HTMLStripCharFilter in Solr 3.1
Hi, I recently upgraded from Solr 1.3 to Solr 3.1 in order to take advantage of the HTMLStripCharFilter. But it isn't working as I expected. I have a text field that may contain HTML tags. I however would like to store it in Solr without the HTML tags. And retrieve the text field for display and for highlighting without HTML tags. I added charFilter class=solr.HTMLStripCharFilterFactory/ to the top of fieldType name=text class=solr.TextField positionIncrementGap=100 autoGeneratePhraseQueries=true in the schema.xml file of the solr example, both in analyzer type=index and in analyzer type=query. And the text field is simply: field name=text type=text indexed=true stored=true/ Now, when I do a search. The text field still has all the HTML tags in them and the highlighting is totally screwed up with em tags around virtually every word. What am I doing wrong? Kind regards, Nick -- View this message in context: http://lucene.472066.n3.nabble.com/What-is-correct-use-of-HTMLStripCharFilter-in-Solr-3-1-tp2933021p2933021.html Sent from the Solr - User mailing list archive at Nabble.com.
Amazon like search function
Hi, I'm looking for ideas on how to implement an Amazon.com like search function. If for example you do a search on - optimization algorithm java. Amazon first returns results that contain all of these keywords, then followed by a list that contains both the words optimization algorithm, then a list with books that contain the words algorithm java and finally a list with books that contain both the words optimization java. At the moment I'm using the solrQueryParser defaultOperator=OR option, but this returns to many results. I have tried to switch to the AND option but that option returns to few results. So I would like to present the results like Amazon does, so the user has some more options to choose from. Kind regards, Nick -- View this message in context: http://lucene.472066.n3.nabble.com/Amazon-like-search-function-tp1940223p1940223.html Sent from the Solr - User mailing list archive at Nabble.com.
