Re: solr IDF based filtering response

[GaneshSe]

request your help on the same. I am sure there should be some way to do it,
there should be some way to limit the results based on relevance. Please
help



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csv does not return custom fields (distance)

[GaneshSe]

I am using spacial search feature in Solr (4.0) version. 

When I try to extract the csv (using wt=csv option) using the edismax
parser, I dont get all the fields in the CSV output as specified in the fl
parameter. Only the schema fields are coming out in CSV and the score, the
custom fields like distance as specified/bolded below does not come out in
the csv file. But i am able to get the same in the wt=xml option. 

q=+(Name:abcd)&sfield=location&rows=100&defType=edismax&pt=40.721587,-73.886938&q.op=OR&isShard=true&start=0&fl=*,score,*dist:geodist()*&wt=csv

Above is not complete query

I would like to have distance in the CSV output, any help please?




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Re: csv does not return custom fields (distance)

[GaneshSe]

Any help on this is greatly appreciated.



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Re: Please help me to understand debugQuery output

[GaneshSe]

You might want to look at the Solr Relavancy for the same.

http://wiki.apache.org/solr/SolrRelevancyFAQ
  

Also, it will even better if you look at the link above with outcome you
want to get to, like "Want to know why this document is better than the
other" or "Why the document in my db did not come up?"


Amit Aggarwal wrote
> Hello All,
> 
> Can any one help me in understanding "debugQuery" output like this.
> 
> 
>   
> 
>   0.6276088 = (MATCH) sum of:
> 
>   0.6276088 = (MATCH) max of:
> 
>   0.18323982 = (MATCH) sum of:
> 
>   0.18323982 = (MATCH) weight(state_search:a in 327) [DefaultSimilarity], 
> result of:
> 
>   0.18323982 = score(doc=327,freq=2.0 = termFreq=2.0
> 
>   ), product of:
> 
>   0.3188151 = queryWeight, product of:
> 
>   3.2512918 = idf(docFreq=35, maxDocs=342)
> 
>   0.098057985 = queryNorm
> 
>   0.5747526 = fieldWeight in 327, product of:
> 
>   1.4142135 = tf(freq=2.0), with freq of:
> 
>   2.0 = termFreq=2.0
> 
>   3.2512918 = idf(docFreq=35, maxDocs=342)
> 
>   0.125 = fieldNorm(doc=327)
> 
>   0.2505932 = (MATCH) sum of:
> 
>   0.2505932 = (MATCH) weight(country_search:a in 327) 
> [DefaultSimilarity], result of:
> 
>   0.2505932 = score(doc=327,freq=1.0 = termFreq=1.0
> 
>   ), product of:
> 
>   0.3135134 = queryWeight, product of:
> 
>   3.1972246 = idf(docFreq=37, maxDocs=342)
> 
>   0.098057985 = queryNorm
> 
>   0.79930615 = fieldWeight in 327, product of:
> 
>   1.0 = tf(freq=1.0), with freq of:
> 
>   1.0 = termFreq=1.0
> 
>   3.1972246 = idf(docFreq=37, maxDocs=342)
> 
>   0.25 = fieldNorm(doc=327)
> 
>   0.25283098 = (MATCH) sum of:
> 
>   0.25283098 = (MATCH) weight(area_search:a in 327) [DefaultSimilarity], 
> result of:
> 
>   0.25283098 = score(doc=327,freq=1.0 = termFreq=1.0
> 
>   ), product of:
> 
>   0.398 = queryWeight, product of:
> 
>   4.06 = idf(docFreq=15, maxDocs=342)
> 
>   0.098057985 = queryNorm
> 
>   0.6347222 = fieldWeight in 327, product of:
> 
>   1.0 = tf(freq=1.0), with freq of:
> 
>   1.0 = termFreq=1.0
> 
>   4.06 = idf(docFreq=15, maxDocs=342)
> 
>   0.15625 = fieldNorm(doc=327)
> 
>   0.6276088 = (MATCH) sum of:
> 
>   0.12957011 = (MATCH) weight(city_search:a in 327) [DefaultSimilarity], 
> result of:
> 
>   0.12957011 = score(doc=327,freq=1.0 = termFreq=1.0
> 
>   ), product of:
> 
>   0.3188151 = queryWeight, product of:
> 
>   3.2512918 = idf(docFreq=35, maxDocs=342)
> 
>   0.098057985 = queryNorm
> 
>   0.40641147 = fieldWeight in 327, product of:
> 
>   1.0 = tf(freq=1.0), with freq of:
> 
>   1.0 = termFreq=1.0
> 
>   3.2512918 = idf(docFreq=35, maxDocs=342)
> 
>   0.125 = fieldNorm(doc=327)
> 
>   0.3638727 = (MATCH) weight(city_search:ab in 327) [DefaultSimilarity], 
> result of:
> 
>   0.3638727 = score(doc=327,freq=1.0 = termFreq=1.0
> 
>   ), product of:
> 
>   0.5342705 = queryWeight, product of:
> 
>   5.4485164 = idf(docFreq=3, maxDocs=342)
> 
>   0.098057985 = queryNorm
> 
>   0.68106455 = fieldWeight in 327, product of:
> 
>   1.0 = tf(freq=1.0), with freq of:
> 
>   1.0 = termFreq=1.0
> 
>   5.4485164 = idf(docFreq=3, maxDocs=342)
> 
>   0.125 = fieldNorm(doc=327)
> 
>   0.13416591 = (MATCH) weight(city_search:b in 327) [DefaultSimilarity], 
> result of:
> 
>   0.13416591 = score(doc=327,freq=1.0 = termFreq=1.0
> 
>   ), product of:
> 
>   0.32441998 = queryWeight, product of:
> 
>   3.3084502 = idf(docFreq=33, maxDocs=342)
> 
>   0.098057985 = queryNorm
> 
>   0.41355628 = fieldWeight in 327, product of:
> 
>   1.0 = tf(freq=1.0), with freq of:
> 
>   1.0 = termFreq=1.0
> 
>   3.3084502 = idf(docFreq=33, maxDocs=342)
> 
>   0.125 = fieldNorm(doc=327)
> 
>   
> 
>   
> 
>   
> 
> 
> 
> 
> Any links where this explaination is explained ?
> 
> Thanks
> 
> -- 
> Amit Aggarwal
> 8095552012





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solr IDF base filtering response

[GaneshSe]

I would like to reduce the number of documents that are returned in search,
based on the inquiry terms in response and their IDF.

For example for the query q=(Definitive Java Book), I don't want to see the
result documents which has 'Book' and other irrelevant terms in it. For
example I don't want to see in the solr response documents like "Sports
Book"

To achieve this, I am thinking of using the IDF(high IDF, or in other words,
less frequent terms) value to filter the response documents. Since IDF for
'Book' is going to be very small, I don't want to see the document which has
only one term (Book) relevant and other terms not in the inquiry.

I see that solr has idf function, but don't see any easy option to filter
this apart from doing some coding on the client side. ie., using the IDF
function and using response terms.

Let me if there is possible option for the same.



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facet.method value per field

[GaneshSe]

We are trying to use facet across multiple fields, we would like to know how
to control the facet.method based on the field that we are using. There are
some fields for us which makes sense to use facet.method=enum and for some
other fields facet.method=fc makes more sense. This depends on the type of
field and possible values. 

Is there a way to control this param per field like
f..facet.method=fs or enum?

If not, if there are multiple fields based on which we are faceting, how do
we choose one of the facet method?

We are using Solr 4.3.1 ( index however is based on 3.6)



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Re: Solr streaming expression - options for Full Outer Join

[GaneshSe]

Any help solr streaming expression option is greatly appreciated. Please help



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Re: Solr JVM performance challenge with Updates

[GaneshSe]

Any help on this is much appreciated.



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