I currently have a SOLR query which uses the query (q), query fields (qf) and phrase fields (pf) to retrieve the results I want. An example is:
/solr/select
?q=superbowl
&qf=title^3+headline^2+intro+fulltext
&pf=title^3+headline^2+intro+fulltext
&fl=id,title,ts_modified,score
&debugQuery=true
The idea is that the title and headline of the "main item" give the best indication of what the result is "about", but the intro and fulltext provides some input too. Ie, imagine a collection of links, where the collection itself has metadata (what it's a collection of), but each link has it's own data (title of the link, synopsis, etc). If we search for "superbowl", the most relevant results are the ones with "superbowl" in the collection metadata, the least relevant results are those with "superbowl" in just the synopsis of one of the links... but they're all valid results.
What I'm trying to do is add a boost to the relevancy score so that the most recent results float towards the top, but retaining title,headline,intro,fulltext as part of the formula. A recent result with the search string in the collection metadata would be more relevant than one with it only in the links metadata... but that "links only" recent result might be more relevant than a very old result with the search string in the collection metadata. (I hope that's somewhat clear).
The problem is that I can't figure out how to combine the boost function documented on the SOLR site with the use of the qf/pf fields. Specifically...
From the SOLR site, something like the following works to boost the results by date:
/solr/select
?q={!boost%20b=$dateboost%20v=$qq}
&dateboost=ord(ts_modified)
&qq=superbowl
&fl=ts_modified,score
&debugQuery=true
However, I can't figure out how to combine that query with the use of qf and pf. Any suggestions would be more than welcome.
Thanks to danben's response, I was able to come up with the following:
/solr/select
?q={!boost%20b=$dateboost%20v=$qq%20defType=dismax}
&dateboost=ord(ts_modified)
&qq=superbowl
&qf=title^3+headline^2+intro^2+fulltext
&pf=title^3+headline^2+intro^2+fulltext
&fl=ts_modifieds,score
&debugQuery=true
It looks like the actual problems I was having were:
I left spaces in the q param instead of escaping them (%20) when copy/pasting
I didn't include the defType=dismax in my q param, so that it would pay attention to the qf/pf parameters
Check out http://wiki.apache.org/solr/SolrRelevancyFAQ#How_can_I_boost_the_score_of_newer_documents
This is based on the ms function, which returns the difference in milliseconds between two timestamps / dates, and ReciprocalFloatFunction which increases as the value passed decreases.
Since you are using the DisMaxRequestHandler, you may need to specify your query using the bq/bf parameters. From http://lucene.apache.org/solr/api/org/apache/solr/handler/DisMaxRequestHandler.html:
bq - (Boost Query) a raw lucene query that will be included in the
users query to influence the score. If
this is a BooleanQuery with a default
boost (1.0f), then the individual
clauses will be added directly to the
main query. Otherwise, the query will
be included as is. This param can be
specified multiple times, and the
boosts are are additive. NOTE: the
behaviour listed above is only in
effect if a single bq paramter is
specified. Hence you can disable it by
specifying an additional, blank, bq
parameter.
bf - (Boost Functions) functions (with optional boosts) that will be
included in the users query to
influence the score. Format is:
"funcA(arg1,arg2)^1.2
funcB(arg3,arg4)^2.2". NOTE:
Whitespace is not allowed in the
function arguments. This param can be
specified multiple times, and the
functions are additive.
Here is a nice article about Date-boosting Solr search results:
http://www.metaltoad.com/blog/date-boosting-solr-drupal-search-results
In Drupal this can be simply achieved by the following code:
using Apachesolr module
/**
* Implements hook_apachesolr_query_alter().
*/
function hook_search_apachesolr_query_alter(DrupalSolrQueryInterface $query) {
$query->addParam('bf', array('freshness' =>
'recip(abs(ms(NOW/HOUR,dm_field_date)),3.16e-11,1,.1)'
));
}
Related
I am trying to do a product search setup using Solr. It does return results for keywords that follow the same order in the product name. However, when the keywords are mixed up, no results are returned. I would like to get results with scores that closely match the given keywords in any order.
My question on scoring has the schema, data configuration and query. Any help will be greatly appreciated.
As long as you enter your query as a regular query, instead of using wildcards, any hits in a text_general field as you've defined should be returned.
You can use the mm parameter to adjust how many of the terms supplied that need to match from a query. I suggest using the edismax query parser, as that allows you do to more "natural" queries instead of having to add the fieldnames in the query itself:
defType=edismax&qf=catchall&q=nikon dslr
defType=edismax&qf=catchall&q=dslr nikon
should both give the same set of documents (but possibly different scores when using phrase boosts).
I implementing Solr search using an API. When I call it using the parameters as, "Chillout Lounge", it returns me the collection which are same/similar to the string "Chillout Lounge".
But when I search for "Chillout Lounge Box", it returns me results which don't have any of these three words.(in the DB there are values which have these 3 values, but they are not returned.)
According to me, Solr uses Fuzzy search, but when it is done it should return me some values, which will have at least one these value.
Or what could be the possible changes I should to my schema.XML, such that is would give me proper values.
First of all - "Fuzzy search" is a feature you'll have to ask for (by using ~ in standard Lucene query syntax).
If you're talking about regular searches, you can use q.op to select which operator to use. q.op=AND will make sure that all the terms match, while q.op=OR will make any document that contain at least one of the terms be returned. As long as you aren't using fq for this, the documents that match more terms should be scored higher (as the score will add up across multiple terms), and thus, be shown higher in the result set.
You can use the debug query feature in the web interface to see scores for each term for a document, and find out why the document was returned at all. If the document doesn't match any terms, it shouldn't be returned, unless you're asking for all documents to be returned.
Be aware that the analyzer chain defined for the field you're searching might affect what's considered a match and not.
You'll have to add a proper example to get a more detailed answer.
We're working on a plan to identify content tags our users are interested in. So, for instance, we may determine that User X consumes content tagged with "kermit" and "piggy" more often than other tags. These are their "favored tags."
When the users search, we'd like to favor/bias documents that contain these terms.
This means we can't boost the documents at index time, because every user will have different favored tags. Additionally, they may not be searching for the favored tags themselves. They may search for "gonzo," and so we absolutely want to give them documents with "gonzo," but we want to boost documents that also contain "kermit" or "piggy."
These favored tags are not used to actually query the index, but rather are used to bias the result ordering. The favored tags become something of a tie-breaker -- all else being equal, documents containing these terms will rank higher.
This is new/planned development, so we can use whatever version and parser stack is optimal to solve this problem.
Solution in SolrNet
The question was correctly answered below, but here's the code for SolrNet just in case someone else is using it.
var localParams = new LocalParams();
localParams.Add("bq", "kermit^10000); //numeric value is the degree of boost
var solr = ServiceLocator.Current.GetInstance<ISolrOperations<MySolrDocumentClass>>();
solr.Query(new SolrQuery("whatever") + localParams);
You didn't specify which query parser you're using, but if you are using the Dismax or Extended Dismax query parser, the bq argument should do exactly what you're looking for. bq adds search criteria to a search solely for the purpose of affecting the relevancy, but not to limit the result set.
From the Dismax documentation:
The bq (Boost Query) Parameter
The bq parameter specifies an additional, optional, query clause that
will be added to the user's main query to influence the score. For
example, if you wanted to add a relevancy boost for recent documents:
q=cheese
bq=date:[NOW/DAY-1YEAR TO NOW/DAY]
You can specify multiple bq parameters. If you want your query to be
parsed as separate clauses with separate boosts, use multiple bq
parameters.
In this case, you may want to add &bq=kermit&bq=piggy to the end of your Solr query. If you aren't using one of these query parsers, this need may be exactly the motivation you need to switch.
I have a more like this query which I would like to update to return newer documents first. According to the documentation, I would need to add recip(ms(NOW,mydatefield),3.16e-11,1,1) to my query.
But when I try to add it to either of mlt.qf or bf parameters. The results stay exactly the same.
This is my query:
/solr/mlt?
q=id:cms.article.137861
&defType=edismax
&rows=3
&indent=on
&mlt.fl=series_id,tags,title,text
&mlt.qf=show_id text^1.1 title^1.1 tags^90
&wt=json
&fl=url,title,tags,django_id,content_type_id
&bf=recip(ms(NOW,pub_date),3.16e-11,1,1)
this is taken from the solr wiki (its down but i have it cached)
i think this is what you are looking for.
How can I boost the score of newer documents
Do an explicit sort by date (relevancy scores are ignored)
Use an index-time boost that is larger for newer documents
Use a FunctionQuery to influence the score based on a date field.
In Solr 1.3, use something of the form recip(rord(myfield),1,1000,1000)
In Solr 1.4, use something of the form recip(ms(NOW,mydatefield),3.16e-11,1,1)
http://lucene.apache.org/solr/api/org/apache/solr/search/function/ReciprocalFloatFunction.html http://lucene.apache.org/solr/api/org/apache/solr/search/BoostQParserPlugin.html
A full example of a query for "ipod" with the score boosted higher the newer the product is:
http://localhost:8983/solr/select?q={!boost b=recip(ms(NOW,manufacturedate_dt),3.16e-11,1,1)}ipod
One can simplify the implementation by decomposing the query into multiple arguments:
http://localhost:8983/solr/select?q={!boost b=$dateboost v=$qq}&dateboost=recip(ms(NOW,manufacturedate_dt),3.16e-11,1,1)&qq=ipod
Now the main "q" argument as well as the "dateboost" argument may be specified as defaults in a search handler in solrconfig.xml, and clients would only need to pass "qq", the user query.
To boost another query type such as a dismax query, the value of the boost query is a full sub-query and hence can use the {!querytype} syntax. Alternately, the defType param can be used in the boost local params to set the default type to dismax. The other dismax parameters may be set as top level parameters.
http://localhost:8983/solr/select?q={!boost b=$dateboost v=$qq defType=dismax}&dateboost=recip(ms(NOW,manufacturedate_dt),3.16e-11,1,1)&qf=text&pf=text&qq=ipod
Consider using reduced precision to prevent excessive memory consumption. You would instead use recip(ms(NOW/HOUR,mydatefield),3.16e-11,1,1). See this thread for more information.
apparently your date field is not a TrieDate
Solr newbie here.
I have created a Solr index and write a whole bunch of docs into it. I can see
from the Solr admin page that the docs exist and the schema is fine as well.
But when I perform a search using a test keyword I do not get any results back.
On entering * : *
into the query (in Solr admin page) I get all the results.
However, when I enter any other query (e.g. a term or phrase) I get no results.
I have verified that the field being queried is Indexed and contains the values I am searching for.
So I am confused what I am doing wrong.
Probably you don't have a <defaultSearchField> correctly set up. See this question.
Another possibility: your field is of type string instead of text. String fields, in contrast to text fields, are not analyzed, but stored and indexed verbatim.
I had the same issue with a new setup of Solr 8. The accepted answer is not valid anymore, because the <defaultSearchField> configuration will be deprecated.
As I found no answer to why Solr does not return results from any fields despite being indexed, I consulted the query documentation. What I found is the DisMax query parser:
The DisMax query parser is designed to process simple phrases (without complex syntax) entered by users and to search for individual terms across several fields using different weighting (boosts) based on the significance of each field. Additional options enable users to influence the score based on rules specific to each use case (independent of user input).
In contrast, the default Lucene parser only speaks about searching one field. So I gave DisMax a try and it worked very well!
Query example:
http://localhost:8983/solr/techproducts/select?defType=dismax&q=video
You can also specify which fields to search exactly to prevent unwanted side effects. Multiple fields are separated by spaces which translate to + in URLs:
http://localhost:8983/solr/techproducts/select?defType=dismax&q=video&qf=features+text
Last but not least, give the fields a weight:
http://localhost:8983/solr/techproducts/select?defType=dismax&q=video&qf=features^20.0+text^0.3
If you are using pysolr like I do, you can add those parameters to your search request like this:
results = solr.search('search term', **{
'defType': 'dismax',
'qf': 'features text'
})
In my case the problem was the format of the query. It seems that my setup, by default, was looking and an exact match to the entire value of the field. So, in order to get results if I was searching for the sit I had to query *sit*, i.e. use wildcards to get the expected result.
With solr 4, I had to solve this as per Mauricio's answer by defining type="text_en" to the field.
With solr 6, use text_general.