Cool that it worked :)
I had this same problem in my project a few months ago
On Tue, Feb 12, 2013 at 12:57 PM, Sandeep Mestry <sanmes...@gmail.com>wrote:
> Hi Felipe, Just a short note to say thanks for your valuable suggestion. I
> had implemented that and could see expected results. The length norm still
> spoils it for few fields but I balanced it with the boost factors
> accordingly.
>
> Once again, Many Thanks!
> Sandeep
>
>
> On 1 February 2013 22:53, Sandeep Mestry <sanmes...@gmail.com> wrote:
>
> > Brilliant! Thanks very much for your response. .
> > On 1 Feb 2013 20:37, "Felipe Lahti" <fla...@thoughtworks.com> wrote:
> >
> >> It's not necessary. It's only query time.
> >>
> >>
> >> On Fri, Feb 1, 2013 at 5:00 PM, Sandeep Mestry <sanmes...@gmail.com>
> >> wrote:
> >>
> >> > Hi..
> >> >
> >> > Could you tell me if changing default similarity to custom
> >> implementation
> >> > will require me to rebuild the index? Or will it be used only query
> >> time?
> >> >
> >> > thanks,
> >> > Sandeep
> >> > On 31 Jan 2013 13:55, "Felipe Lahti" <fla...@thoughtworks.com>
> wrote:
> >> >
> >> > > So, it depends of your business requirement, right? If a document
> has
> >> > > matches in more searchable fields, at least for me, this document is
> >> more
> >> > > important than other document that has less matches.
> >> > >
> >> > > Example:
> >> > > Put this in your schema:
> >> > > <similarity class="com.your.namespace.NoIDFSimilarity" />
> >> > >
> >> > > And create a class in your classpath of your Solr:
> >> > >
> >> > > package com.your.namespace;
> >> > >
> >> > > import org.apache.lucene.search.similarities.DefaultSimilarity;
> >> > >
> >> > > public class NoIDFSimilarity extends DefaultSimilarity {
> >> > >
> >> > > @Override
> >> > >
> >> > > public float idf(long docFreq, long numDocs) {
> >> > >
> >> > > return 1;
> >> > >
> >> > > }
> >> > >
> >> > > }
> >> > >
> >> > >
> >> > > It will "neutralize" the idf (which is the rarity of term).
> >> > >
> >> > >
> >> > >
> >> > >
> >> > >
> >> > >
> >> > > On Thu, Jan 31, 2013 at 5:31 AM, Sandeep Mestry <
> sanmes...@gmail.com>
> >> > > wrote:
> >> > >
> >> > > > Thanks Felipe..
> >> > > > Can you point me an example please?
> >> > > >
> >> > > > Also forgive me but if a document has matches in more searchable
> >> fields
> >> > > > then should it not rank higher?
> >> > > >
> >> > > > Thanks,
> >> > > > Sandeep
> >> > > > On 30 Jan 2013 19:30, "Felipe Lahti" <fla...@thoughtworks.com>
> >> wrote:
> >> > > >
> >> > > > > If you compare the first and last document scores you will see
> >> that
> >> > the
> >> > > > > last one matches more fields than first one. So, you maybe
> >> thinking
> >> > > why?
> >> > > > > The first doc only matches "contributions" field and the last
> >> > matches a
> >> > > > > bunch of fields so if you want to have behave more like (<str
> >> > > > > name="qf">series_title^500 title^100 description^15
> >> > contribution</str>)
> >> > > > you
> >> > > > > have to override the method of DefaultSimilarity.
> >> > > > >
> >> > > > >
> >> > > > > On Wed, Jan 30, 2013 at 4:12 PM, Sandeep Mestry <
> >> sanmes...@gmail.com
> >> > >
> >> > > > > wrote:
> >> > > > >
> >> > > > > > I have pasted it below and it is slightly variant from the
> >> dismax
> >> > > > > > configuration I have mentioned above as I was playing with all
> >> > sorts
> >> > > of
> >> > > > > > boost values, however it looks more lie below:
> >> > > > > >
> >> > > > > > <str name="c208c2ca-4270-27b8-e040-a8c00409063a">
> >> > > > > > 2675.7844 = (MATCH) sum of: 2675.7844 = (MATCH) max plus 0.01
> >> times
> >> > > > > others
> >> > > > > > of: 2675.7844 = (MATCH) weight(contributions:news in 63298)
> >> > > > > > [DefaultSimilarity], result of: 2675.7844 =
> >> > score(doc=63298,freq=1.0
> >> > > =
> >> > > > > > termFreq=1.0 ), product of: 0.004495774 = queryWeight, product
> >> of:
> >> > > > > > 14.530705 = idf(docFreq=14, maxDocs=11282414) 3.093982E-4 =
> >> > queryNorm
> >> > > > > > 595177.7 = fieldWeight in 63298, product of: 1.0 =
> tf(freq=1.0),
> >> > with
> >> > > > > freq
> >> > > > > > of: 1.0 = termFreq=1.0 14.530705 = idf(docFreq=14,
> >> > maxDocs=11282414)
> >> > > > > > 40960.0 = fieldNorm(doc=63298)
> >> > > > > > </str>
> >> > > > > > <str name="c208c2a9-66bc-27b8-e040-a8c00409063a">
> >> > > > > > 2317.297 = (MATCH) sum of: 2317.297 = (MATCH) max plus 0.01
> >> times
> >> > > > others
> >> > > > > > of: 2317.297 = (MATCH) weight(contributions:news in 9826415)
> >> > > > > > [DefaultSimilarity], result of: 2317.297 =
> >> > > score(doc=9826415,freq=3.0 =
> >> > > > > > termFreq=3.0 ), product of: 0.004495774 = queryWeight, product
> >> of:
> >> > > > > > 14.530705 = idf(docFreq=14, maxDocs=11282414) 3.093982E-4 =
> >> > queryNorm
> >> > > > > > 515439.0 = fieldWeight in 9826415, product of: 1.7320508 =
> >> > > > tf(freq=3.0),
> >> > > > > > with freq of: 3.0 = termFreq=3.0 14.530705 = idf(docFreq=14,
> >> > > > > > maxDocs=11282414) 20480.0 = fieldNorm(doc=9826415)
> >> > > > > > </str>
> >> > > > > > <str name="c208c2aa-1806-27b8-e040-a8c00409063a">
> >> > > > > > 2140.6274 = (MATCH) sum of: 2140.6274 = (MATCH) max plus 0.01
> >> times
> >> > > > > others
> >> > > > > > of: 2140.6274 = (MATCH) weight(contributions:news in 9882325)
> >> > > > > > [DefaultSimilarity], result of: 2140.6274 =
> >> > > score(doc=9882325,freq=1.0
> >> > > > =
> >> > > > > > termFreq=1.0 ), product of: 0.004495774 = queryWeight, product
> >> of:
> >> > > > > > 14.530705 = idf(docFreq=14, maxDocs=11282414) 3.093982E-4 =
> >> > queryNorm
> >> > > > > > 476142.16 = fieldWeight in 9882325, product of: 1.0 =
> >> tf(freq=1.0),
> >> > > > with
> >> > > > > > freq of: 1.0 = termFreq=1.0 14.530705 = idf(docFreq=14,
> >> > > > maxDocs=11282414)
> >> > > > > > 32768.0 = fieldNorm(doc=9882325)
> >> > > > > > </str>
> >> > > > > > <str name="c208c2b0-5165-27b8-e040-a8c00409063a">
> >> > > > > > 1605.4707 = (MATCH) sum of: 1605.4707 = (MATCH) max plus 0.01
> >> times
> >> > > > > others
> >> > > > > > of: 1605.4707 = (MATCH) weight(contributions:news in 220007)
> >> > > > > > [DefaultSimilarity], result of: 1605.4707 =
> >> > > score(doc=220007,freq=1.0 =
> >> > > > > > termFreq=1.0 ), product of: 0.004495774 = queryWeight, product
> >> of:
> >> > > > > > 14.530705 = idf(docFreq=14, maxDocs=11282414) 3.093982E-4 =
> >> > queryNorm
> >> > > > > > 357106.62 = fieldWeight in 220007, product of: 1.0 =
> >> tf(freq=1.0),
> >> > > with
> >> > > > > > freq of: 1.0 = termFreq=1.0 14.530705 = idf(docFreq=14,
> >> > > > maxDocs=11282414)
> >> > > > > > 24576.0 = fieldNorm(doc=220007)
> >> > > > > > </str>
> >> > > > > > <str name="c208c2cc-d01b-27b8-e040-a8c00409063a">
> >> > > > > > 1605.4707 = (MATCH) sum of: 1605.4707 = (MATCH) max plus 0.01
> >> times
> >> > > > > others
> >> > > > > > of: 1605.4707 = (MATCH) weight(contributions:news in 241151)
> >> > > > > > [DefaultSimilarity], result of: 1605.4707 =
> >> > > score(doc=241151,freq=1.0 =
> >> > > > > > termFreq=1.0 ), product of: 0.004495774 = queryWeight, product
> >> of:
> >> > > > > > 14.530705 = idf(docFreq=14, maxDocs=11282414) 3.093982E-4 =
> >> > queryNorm
> >> > > > > > 357106.62 = fieldWeight in 241151, product of: 1.0 =
> >> tf(freq=1.0),
> >> > > with
> >> > > > > > freq of: 1.0 = termFreq=1.0 14.530705 = idf(docFreq=14,
> >> > > > maxDocs=11282414)
> >> > > > > > 24576.0 = fieldNorm(doc=241151)
> >> > > > > > </str>
> >> > > > > > </lst>
> >> > > > > > <str
> >> > name="otherQuery">id:c208c2b4-1b3e-27b8-e040-a8c00409063a</str>
> >> > > > > > <lst name="explainOther">
> >> > > > > > <str name="*c208c2b4-1b3e-27b8-e040-a8c00409063a*"> <!-- this
> >> > should
> >> > > > rank
> >> > > > > > higher -->
> >> > > > > > 6.5742764 = (MATCH) sum of: 6.5742764 = (MATCH) max plus 0.01
> >> times
> >> > > > > others
> >> > > > > > of: 3.304414 = (MATCH) weight(description:news^25.0 in 967895)
> >> > > > > > [DefaultSimilarity], result of: 3.304414 =
> >> > score(doc=967895,freq=1.0
> >> > > =
> >> > > > > > termFreq=1.0 ), product of: 0.042727955 = queryWeight, product
> >> of:
> >> > > > 25.0 =
> >> > > > > > boost 5.5240083 = idf(docFreq=122362, maxDocs=11282414)
> >> > 3.093982E-4 =
> >> > > > > > queryNorm 77.33611 = fieldWeight in 967895, product of: 1.0 =
> >> > > > > tf(freq=1.0),
> >> > > > > > with freq of: 1.0 = termFreq=1.0 5.5240083 =
> idf(docFreq=122362,
> >> > > > > > maxDocs=11282414) 14.0 = fieldNorm(doc=967895) 5.913381 =
> >> (MATCH)
> >> > > > > > weight(pg_series_title:news^50.0 in 967895)
> [DefaultSimilarity],
> >> > > result
> >> > > > > of:
> >> > > > > > 5.913381 = score(doc=967895,freq=1.0 = termFreq=1.0 ), product
> >> of:
> >> > > > > > 0.080834694 = queryWeight, product of: 50.0 = boost 5.2252855
> =
> >> > > > > > idf(docFreq=164961, maxDocs=11282414) 3.093982E-4 = queryNorm
> >> > 73.154
> >> > > =
> >> > > > > > fieldWeight in 967895, product of: 1.0 = tf(freq=1.0), with
> freq
> >> > of:
> >> > > > 1.0
> >> > > > > =
> >> > > > > > termFreq=1.0 5.2252855 = idf(docFreq=164961, maxDocs=11282414)
> >> > 14.0 =
> >> > > > > > fieldNorm(doc=967895) 0.18680073 = (MATCH)
> >> > > > weight(p_programme_title:news
> >> > > > > in
> >> > > > > > 967895) [DefaultSimilarity], result of: 0.18680073 =
> >> > > > > > score(doc=967895,freq=1.0 = termFreq=1.0 ), product of:
> >> > 0.002031815 =
> >> > > > > > queryWeight, product of: 6.5669904 = idf(docFreq=43120,
> >> > > > maxDocs=11282414)
> >> > > > > > 3.093982E-4 = queryNorm 91.93787 = fieldWeight in 967895,
> >> product
> >> > of:
> >> > > > > 1.0 =
> >> > > > > > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 6.5669904 =
> >> > > > > > idf(docFreq=43120, maxDocs=11282414) 14.0 =
> >> fieldNorm(doc=967895)
> >> > > > > 6.464123
> >> > > > > > = (MATCH) weight(pg_series_title_ci:news^500.0 in 967895)
> >> > > > > > [DefaultSimilarity], result of: 6.464123 =
> >> > score(doc=967895,freq=1.0
> >> > > =
> >> > > > > > termFreq=1.0 ), product of: 0.99999696 = queryWeight, product
> >> of:
> >> > > > 500.0 =
> >> > > > > > boost 6.4641423 = idf(docFreq=47791, maxDocs=11282414)
> >> 3.093982E-4
> >> > =
> >> > > > > > queryNorm 6.4641423 = fieldWeight in 967895, product of: 1.0 =
> >> > > > > > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 6.4641423 =
> >> > > > > > idf(docFreq=47791, maxDocs=11282414) 1.0 =
> fieldNorm(doc=967895)
> >> > > > > 1.6107484
> >> > > > > > = (MATCH) weight(title_ci:news^100.0 in 967895)
> >> > [DefaultSimilarity],
> >> > > > > result
> >> > > > > > of: 1.6107484 = score(doc=967895,freq=1.0 = termFreq=1.0 ),
> >> product
> >> > > of:
> >> > > > > > 0.22324038 = queryWeight, product of: 100.0 = boost 7.2153096
> =
> >> > > > > > idf(docFreq=22548, maxDocs=11282414) 3.093982E-4 = queryNorm
> >> > > 7.2153096
> >> > > > =
> >> > > > > > fieldWeight in 967895, product of: 1.0 = tf(freq=1.0), with
> freq
> >> > of:
> >> > > > 1.0
> >> > > > > =
> >> > > > > > termFreq=1.0 7.2153096 = idf(docFreq=22548, maxDocs=11282414)
> >> 1.0 =
> >> > > > > > fieldNorm(doc=967895)
> >> > > > > > </str>
> >> > > > > >
> >> > > > > >
> >> > > > > > On 30 January 2013 17:55, Felipe Lahti <
> fla...@thoughtworks.com
> >> >
> >> > > > wrote:
> >> > > > > >
> >> > > > > > > Let me see if I understood your problem:
> >> > > > > > >
> >> > > > > > > By your first e-mail I think you are worried about the
> >> returned
> >> > > order
> >> > > > > of
> >> > > > > > > documents from Solr. Is that correct? If yes, as I said
> before
> >> > it's
> >> > > > not
> >> > > > > > > only the boosting that influence the order of returned
> >> documents.
> >> > > > > There's
> >> > > > > > > term frequency, IDF(inverse document frequency)... If I
> >> > understood
> >> > > > > > > correctly by your first e-mail, you are interested in get
> rid
> >> of
> >> > > IDF.
> >> > > > > So
> >> > > > > > > for that, you can create a NoIDFSimilarity class to override
> >> the
> >> > > > > default
> >> > > > > > > similarity.
> >> > > > > > >
> >> > > > > > > Can you paste here the score calculation for one document?
> >> > > > > > >
> >> > > > > > >
> >> > > > > > > On Wed, Jan 30, 2013 at 2:06 PM, Sandeep Mestry <
> >> > > sanmes...@gmail.com
> >> > > > > > >wrote:
> >> > > > > > >
> >> > > > > > >> (Sorry for in complete reply in my previous mail, didn't
> know
> >> > > Ctrl F
> >> > > > > > sends
> >> > > > > > >> an email in Gmail.. ;-))
> >> > > > > > >>
> >> > > > > > >> Thanks Felipe, yes I have seen that and my requirement
> falls
> >> for
> >> > > > > > >>
> >> > > > > > >> How can I make exact-case matches score higher
> >> > > > > > >>
> >> > > > > > >> Example: a query of "Penguin" should score documents
> >> containing
> >> > > > > > "Penguin"
> >> > > > > > >> higher than docs containing "penguin".
> >> > > > > > >>
> >> > > > > > >> The general strategy is to index the content twice, using
> >> > > different
> >> > > > > > fields
> >> > > > > > >> with different fieldTypes (and different analyzers
> associated
> >> > with
> >> > > > > those
> >> > > > > > >> fieldTypes). One analyzer will contain a lowercase filter
> for
> >> > > > > > >> case-insensitive matches, and one will preserve case for
> >> > > exact-case
> >> > > > > > >> matches.
> >> > > > > > >>
> >> > > > > > >> Use copyField <
> >> http://wiki.apache.org/solr/SchemaXml#copyField>
> >> > > > > > commands
> >> > > > > > >> in
> >> > > > > > >>
> >> > > > > > >> the schema to index a single input field multiple times.
> >> > > > > > >>
> >> > > > > > >> Once the content is indexed into multiple fields that are
> >> > analyzed
> >> > > > > > >> differently, query across both
> >> > > > > > >> fields<
> >> > > http://wiki.apache.org/solr/SolrRelevancyFAQ#multiFieldQuery
> >> > > > >
> >> > > > > > >>
> >> > > > > > >> .
> >> > > > > > >>
> >> > > > > > >> I have added a case insensitive field too to match the
> exact
> >> > > matches
> >> > > > > > >> higher, however the result is not even considering the
> >> matches
> >> > in
> >> > > > > field
> >> > > > > > -
> >> > > > > > >> forget the exact matching part.
> >> > > > > > >>
> >> > > > > > >> And I have tried the debugQuery option as mentioned in my
> >> > previous
> >> > > > > mail,
> >> > > > > > >> and I have also posted the parsed queries. From the debug
> >> > query, I
> >> > > > see
> >> > > > > > >> that
> >> > > > > > >> field boosted with lesser factor (contribution) is still
> >> > resulting
> >> > > > > > higher
> >> > > > > > >> than the one with higher boost factor (series_title).
> >> > > > > > >>
> >> > > > > > >>
> >> > > > > > >> Thanks,
> >> > > > > > >>
> >> > > > > > >> Sandeep
> >> > > > > > >>
> >> > > > > > >>
> >> > > > > > >>
> >> > > > > > >>
> >> > > > > > >> On 30 January 2013 16:02, Sandeep Mestry <
> >> sanmes...@gmail.com>
> >> > > > wrote:
> >> > > > > > >>
> >> > > > > > >> > Thanks Felipe, yes I have seen that and my requirement
> >> > somewhere
> >> > > > > falls
> >> > > > > > >> for
> >> > > > > > >> >
> >> > > > > > >> >
> >> > > > > > >> > On 30 January 2013 15:53, Felipe Lahti <
> >> > fla...@thoughtworks.com
> >> > > >
> >> > > > > > wrote:
> >> > > > > > >> >
> >> > > > > > >> >> Hi Sandeep,
> >> > > > > > >> >>
> >> > > > > > >> >> Quick answer is that not only the boost that you define
> in
> >> > your
> >> > > > > > >> >> requestHandler is taken to calculate the score of each
> >> > > document.
> >> > > > > > There
> >> > > > > > >> are
> >> > > > > > >> >> others factors that contribute to score calculation. You
> >> can
> >> > > > take a
> >> > > > > > >> look
> >> > > > > > >> >> here about http://wiki.apache.org/solr/SolrRelevancyFAQ
> .
> >> > Also,
> >> > > > you
> >> > > > > > can
> >> > > > > > >> >> see
> >> > > > > > >> >> using debugQuery=true the score calculation for each
> >> document
> >> > > > > > returned.
> >> > > > > > >> >>
> >> > > > > > >> >> Let me know you need something else.
> >> > > > > > >> >>
> >> > > > > > >> >>
> >> > > > > > >> >>
> >> > > > > > >> >> On Wed, Jan 30, 2013 at 1:13 PM, Sandeep Mestry <
> >> > > > > sanmes...@gmail.com
> >> > > > > > >
> >> > > > > > >> >> wrote:
> >> > > > > > >> >>
> >> > > > > > >> >> > Hi All,
> >> > > > > > >> >> >
> >> > > > > > >> >> > I'm facing an issue in relevancy calculation by dismax
> >> > query
> >> > > > > > parser.
> >> > > > > > >> >> > The boost factor applied does not work as expected in
> >> > certain
> >> > > > > cases
> >> > > > > > >> when
> >> > > > > > >> >> > the keyword is generic and by generic I mean, if the
> >> > keyword
> >> > > is
> >> > > > > > >> >> appearing
> >> > > > > > >> >> > many times in the document as well as in the index.
> >> > > > > > >> >> >
> >> > > > > > >> >> > I have parser configuration as below:
> >> > > > > > >> >> >
> >> > > > > > >> >> > <requestHandler name="querydismax"
> >> > > class="solr.SearchHandler" >
> >> > > > > > >> >> > <lst name="defaults">
> >> > > > > > >> >> > <str name="defType">edismax</str>
> >> > > > > > >> >> > <str name="echoParams">explicit</str>
> >> > > > > > >> >> > <float name="tie">0.01</float>
> >> > > > > > >> >> > <str name="qf">series_title^500 title^100
> >> > > > > > description^15
> >> > > > > > >> >> > contribution</str>
> >> > > > > > >> >> > <str name="pf">series_title^200</str>
> >> > > > > > >> >> > <int name="ps">0</int>
> >> > > > > > >> >> > <str name="q.alt">*:*</str>
> >> > > > > > >> >> > </lst>
> >> > > > > > >> >> > </requestHandler>
> >> > > > > > >> >> >
> >> > > > > > >> >> > As you can see above, I'd expect the documents
> >> containing
> >> > the
> >> > > > > > matches
> >> > > > > > >> >> for
> >> > > > > > >> >> > series title should rank higher than the ones in
> >> > > contribution.
> >> > > > > > >> >> >
> >> > > > > > >> >> > This works well, if I type in a query like
> 'wonderworld'
> >> > > which
> >> > > > > is a
> >> > > > > > >> less
> >> > > > > > >> >> > occurring term and the series titles rank higher. But,
> >> if I
> >> > > > type
> >> > > > > > in a
> >> > > > > > >> >> > keyword like 'news' which is the most common term in
> the
> >> > > > index, I
> >> > > > > > get
> >> > > > > > >> >> hits
> >> > > > > > >> >> > in contributions even though I have lots of documents
> >> > having
> >> > > > word
> >> > > > > > >> news
> >> > > > > > >> >> in
> >> > > > > > >> >> > series title.
> >> > > > > > >> >> >
> >> > > > > > >> >> > The field definition is as below:
> >> > > > > > >> >> >
> >> > > > > > >> >> > <field name="series_title" type="text_wc"
> indexed="true"
> >> > > > > > >> stored="true"
> >> > > > > > >> >> > multiValued="false" />
> >> > > > > > >> >> > <field name="title" type="text_wc" indexed="true"
> >> > > stored="true"
> >> > > > > > >> >> > multiValued="false" />
> >> > > > > > >> >> > <field name="description" type="text_wc"
> indexed="true"
> >> > > > > > stored="true"
> >> > > > > > >> >> > multiValued="false" />
> >> > > > > > >> >> > <field name="contribution" type="text" indexed="true"
> >> > > > > stored="true"
> >> > > > > > >> >> > multiValued="true" />
> >> > > > > > >> >> >
> >> > > > > > >> >> > <fieldType name="text" class="solr.TextField"
> >> > > > > > >> positionIncrementGap="100"
> >> > > > > > >> >> > compressThreshold="10">
> >> > > > > > >> >> > <analyzer type="index">
> >> > > > > > >> >> > <tokenizer
> >> > > > > > class="solr.WhitespaceTokenizerFactory"/>
> >> > > > > > >> >> > <filter
> >> > > class="solr.WordDelimiterFilterFactory"
> >> > > > > > >> >> > generateWordParts="1" generateNumberParts="1"
> >> > > catenateWords="1"
> >> > > > > > >> >> > catenateNumbers="1" catenateAll="0"
> >> splitOnCaseChange="1"/>
> >> > > > > > >> >> > <filter
> >> > class="solr.LowerCaseFilterFactory"/>
> >> > > > > > >> >> > </analyzer>
> >> > > > > > >> >> > <analyzer type="query">
> >> > > > > > >> >> > <tokenizer
> >> > > > > > class="solr.WhitespaceTokenizerFactory"/>
> >> > > > > > >> >> > <filter
> >> > > class="solr.WordDelimiterFilterFactory"
> >> > > > > > >> >> > generateWordParts="1" generateNumberParts="1"
> >> > > catenateWords="0"
> >> > > > > > >> >> > catenateNumbers="0" catenateAll="0"
> >> splitOnCaseChange="1"/>
> >> > > > > > >> >> > <filter
> >> > class="solr.LowerCaseFilterFactory"/>
> >> > > > > > >> >> > </analyzer>
> >> > > > > > >> >> > </fieldType>
> >> > > > > > >> >> >
> >> > > > > > >> >> > <fieldType name="text_wc" class="solr.TextField"
> >> > > > > > >> >> positionIncrementGap="100"
> >> > > > > > >> >> > >
> >> > > > > > >> >> > <analyzer type="index">
> >> > > > > > >> >> > <tokenizer
> >> > > > > > class="solr.WhitespaceTokenizerFactory"/>
> >> > > > > > >> >> > <filter
> >> > > class="solr.WordDelimiterFilterFactory"
> >> > > > > > >> >> > stemEnglishPossessive="0" generateWordParts="1"
> >> > > > > > >> generateNumberParts="1"
> >> > > > > > >> >> > catenateWords="1" catenateNumbers="1" catenateAll="1"
> >> > > > > > >> >> splitOnCaseChange="1"
> >> > > > > > >> >> > splitOnNumerics="0" preserveOriginal="1" />
> >> > > > > > >> >> > <filter
> >> > class="solr.LowerCaseFilterFactory"/>
> >> > > > > > >> >> > </analyzer>
> >> > > > > > >> >> > <analyzer type="query">
> >> > > > > > >> >> > <tokenizer
> >> > > > > > class="solr.WhitespaceTokenizerFactory"/>
> >> > > > > > >> >> > <filter
> >> > > class="solr.WordDelimiterFilterFactory"
> >> > > > > > >> >> > stemEnglishPossessive="0" generateWordParts="1"
> >> > > > > > >> generateNumberParts="1"
> >> > > > > > >> >> > catenateWords="1" catenateNumbers="1" catenateAll="1"
> >> > > > > > >> >> splitOnCaseChange="1"
> >> > > > > > >> >> > splitOnNumerics="0" preserveOriginal="1" />
> >> > > > > > >> >> > <filter
> >> > class="solr.LowerCaseFilterFactory"/>
> >> > > > > > >> >> > </analyzer>
> >> > > > > > >> >> > </fieldType>
> >> > > > > > >> >> >
> >> > > > > > >> >> > I have tried debugging and when I use query term
> news, I
> >> > see
> >> > > > that
> >> > > > > > >> >> matches
> >> > > > > > >> >> > for contributions are ranked higher than series title.
> >> The
> >> > > > parsed
> >> > > > > > >> >> queries
> >> > > > > > >> >> > look like below:
> >> > > > > > >> >> > (Note that I have edited the query as in reality I
> have
> >> lot
> >> > > of
> >> > > > > > fields
> >> > > > > > >> >> that
> >> > > > > > >> >> > are searchable and I have only mentioned the fields
> >> > > containing
> >> > > > > text
> >> > > > > > >> >> data -
> >> > > > > > >> >> > rest all contain uuids)
> >> > > > > > >> >> >
> >> > > > > > >> >> > <str name="parsedquery">
> >> > > > > > >> >> > (+DisjunctionMaxQuery((description:news^15.0 |
> >> > > > title:news^100.0 |
> >> > > > > > >> >> > contributions:news | series_title:news^500.0)~0.01) ()
> >> ()
> >> > ()
> >> > > ()
> >> > > > > ()
> >> > > > > > ()
> >> > > > > > >> >> () ()
> >> > > > > > >> >> > () () () () () () () () () () () () () () () () () ()
> ()
> >> > > > > > ())/no_coord
> >> > > > > > >> >> > </str>
> >> > > > > > >> >> > <str name="parsedquery_toString">
> >> > > > > > >> >> > +(description:news^15 | title:news^100.0 |
> >> > > contributions:news |
> >> > > > > > >> >> > series_title:news^500.0)~0.01 () () () () () () () ()
> >> () ()
> >> > > ()
> >> > > > ()
> >> > > > > > ()
> >> > > > > > >> ()
> >> > > > > > >> >> ()
> >> > > > > > >> >> > () () () () () () () () () () () () ()
> >> > > > > > >> >> >
> >> > > > > > >> >> >
> >> > > > > > >> >> > Could you guide me in right direction please?
> >> > > > > > >> >> >
> >> > > > > > >> >> > Many Thanks,
> >> > > > > > >> >> > Sandeep
> >> > > > > > >> >> >
> >> > > > > > >> >>
> >> > > > > > >> >>
> >> > > > > > >> >>
> >> > > > > > >> >> --
> >> > > > > > >> >> Felipe Lahti
> >> > > > > > >> >> Consultant Developer - ThoughtWorks Porto Alegre
> >> > > > > > >> >>
> >> > > > > > >> >
> >> > > > > > >> >
> >> > > > > > >>
> >> > > > > > >
> >> > > > > > >
> >> > > > > > >
> >> > > > > > > --
> >> > > > > > > Felipe Lahti
> >> > > > > > > Consultant Developer - ThoughtWorks Porto Alegre
> >> > > > > > >
> >> > > > > >
> >> > > > >
> >> > > > >
> >> > > > >
> >> > > > > --
> >> > > > > Felipe Lahti
> >> > > > > Consultant Developer - ThoughtWorks Porto Alegre
> >> > > > >
> >> > > >
> >> > >
> >> > >
> >> > >
> >> > > --
> >> > > Felipe Lahti
> >> > > Consultant Developer - ThoughtWorks Porto Alegre
> >> > >
> >> >
> >>
> >>
> >>
> >> --
> >> Felipe Lahti
> >> Consultant Developer - ThoughtWorks Porto Alegre
> >>
> >
>
--
Felipe Lahti
Consultant Developer - ThoughtWorks Porto Alegre
