This was a common one when I was matching movie and song names. If that is your project, also try boosting if it's the first word or on shorter titles. Also try bigrams of stopwords: "Call of the Wild" becomes "call", "of-the", "wild".
The bigrams trick is also good if you have people block-copying large chunks of boilerplate for finding official documents. On Fri, Apr 13, 2012 at 2:04 AM, Kissue Kissue <kissue...@gmail.com> wrote: > Thanks a lot. I had already implemented Walter's solution and was wondering > if this was the right way to deal with it. This has now given me the > confidence to go with the solution. > > Many thanks. > > On Fri, Apr 13, 2012 at 1:04 AM, Erick Erickson > <erickerick...@gmail.com>wrote: > >> GAH! I had my head in "make this happen in one field" when I wrote my >> response, without being explicit. Of course Walter's solution is pretty >> much the standard way to deal with this. >> >> Best >> Erick >> >> On Thu, Apr 12, 2012 at 5:38 PM, Walter Underwood <wun...@wunderwood.org> >> wrote: >> > It is easy. Create two fields, text_exact and text_stem. Don't use the >> stemmer in the first chain, do use the stemmer in the second. Give the >> text_exact a bigger weight than text_stem. >> > >> > wunder >> > >> > On Apr 12, 2012, at 4:34 PM, Erick Erickson wrote: >> > >> >> No, I don't think there's an OOB way to make this happen. It's >> >> a recurring theme, "make exact matches score higher than >> >> stemmed matches". >> >> >> >> Best >> >> Erick >> >> >> >> On Thu, Apr 12, 2012 at 5:18 AM, Kissue Kissue <kissue...@gmail.com> >> wrote: >> >>> Hi, >> >>> >> >>> I have a field in my index called itemDesc which i am applying >> >>> EnglishMinimalStemFilterFactory to. So if i index a value to this field >> >>> containing "Edges", the EnglishMinimalStemFilterFactory applies >> stemming >> >>> and "Edges" becomes "Edge". Now when i search for "Edges", documents >> with >> >>> "Edge" score better than documents with the actual search word - >> "Edges". >> >>> Is there a way i can make documents with the actual search word in this >> >>> case "Edges" score better than document with "Edge"? >> >>> >> >>> I am using Solr 3.5. My field definition is shown below: >> >>> >> >>> <fieldType name="text_en" class="solr.TextField" >> positionIncrementGap="100"> >> >>> <analyzer type="index"> >> >>> <tokenizer class="solr.StandardTokenizerFactory"/> >> >>> <filter class="solr.SynonymFilterFactory" >> >>> synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/> >> >>> <filter class="solr.StopFilterFactory" >> >>> ignoreCase="true" >> >>> words="stopwords_en.txt" >> >>> enablePositionIncrements="true" >> >>> <filter class="solr.LowerCaseFilterFactory"/> >> >>> <filter class="solr.EnglishPossessiveFilterFactory"/> >> >>> <filter class="solr.EnglishMinimalStemFilterFactory"/> >> >>> </analyzer> >> >>> <analyzer type="query"> >> >>> <tokenizer class="solr.StandardTokenizerFactory"/> >> >>> <filter class="solr.SynonymFilterFactory" >> synonyms="synonyms.txt" >> >>> ignoreCase="true" expand="true"/> >> >>> <filter class="solr.StopFilterFactory" >> >>> ignoreCase="true" >> >>> words="stopwords_en.txt" >> >>> enablePositionIncrements="true" >> >>> /> >> >>> <filter class="solr.LowerCaseFilterFactory"/> >> >>> <filter class="solr.EnglishPossessiveFilterFactory"/> >> >>> <filter class="solr.KeywordMarkerFilterFactory" >> >>> protected="protwords.txt"/> >> >>> <filter class="solr.EnglishMinimalStemFilterFactory"/> >> >>> </analyzer> >> >>> </fieldType> >> >>> >> >>> Thanks. >> > >> > >> > >> > >> > >> -- Lance Norskog goks...@gmail.com
