There are two ways to access ![[WWW]](/wiki/modern/img/moin-www.png){kind=small}
MoreLikeThis from solr: from the MoreLikeThisHandler or with the StandardRequestHandler.
- TermVectors, Analyzers and MoreLikeThis
- Common Parameters
- StandardRequestHandler
- MoreLikeThisHandler
TermVectors, Analyzers and MoreLikeThis
MoreLikeThis constructs a lucene query based on terms within a document. For best results, use stored TermVectors in the schema.xml for fields you will use for similarity.
<field name="cat" ... termVectors="true" />
If termVectors are not stored, MoreLikeThis will generate terms from stored fields.
Common Parameters
|
param |
description |
|
mlt.fl |
The fields to use for similarity. NOTE: if possible, these should have a stored TermVector |
|
mlt.mintf |
Minimum Term Frequency - the frequency below which terms will be ignored in the source doc. |
|
mlt.mindf |
Minimum Document Frequency - the frequency at which words will be ignored which do not occur in at least this many docs. |
|
mlt.minwl |
minimum word length below which words will be ignored. |
|
mlt.maxwl |
maximum word length above which words will be ignored. |
|
mlt.maxqt |
maximum number of query terms that will be included in any generated query. |
|
mlt.maxntp |
maximum number of tokens to parse in each example doc field that is not stored with TermVector support. |
|
mlt.boost |
[true/false] set if the query will be boosted by the interesting term relevance. |
|
mlt.qf |
Query fields and their boosts using the same format as that used in DisMaxRequestHandler. These fields must also be specified in mlt.fl. |
StandardRequestHandler
This method returns similar documents for each document in the response set. Perhaps this should be called "MoreLikeThese"
|
param |
description |
|
mlt |
'true' to enable MoreLikeThis results |
|
mlt.count |
The number of similar documents to return for each result. |
examples
MoreLikeThisHandler
When you specifically want information about similar documents, you can use the MoreLikeThisHandler.