> I can't see a way to do it without functionqueries at the moment, which
> doesn't mean there isn't any.
If you want to use the suggested sort method, you could probably sort first by
score:
sort=score desc, num_copies desc, num_comments desc
To let the score be influenced by exact author match only, you can set all
other components to 0 (disMax):
qf=author^0.0 title^0.0 author_exact
Personally I doubt that the requirements will give an excellent usability
experience. If you do NOT get an exact author match, you will get a
"bestseller" list, not taking into account your terms in the ranking at all.
Unless there are specific reasons for these requirements I'd recommend using
rank boosts instead of simple sorting.
Boost author_exact very high using DisMax combined with a version of the author
field with KeywordTokenizerFactory and LowerCaseFilterFactory, perhaps combined
with PatternReplaceFilterFactory to normalize punctuation etc.
<fieldType name="author_exact" class="solr.TextField">
<analyzer>
<tokenizer class="solr.KeywordTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory" />
<filter class="solr.PatternReplaceFilterFactory" pattern="([^a-z0-9])"
replacement=" " replace="all" />
</analyzer>
</fieldType>
Then boost num_copies and num_comments using FunctionQueries in such a way that
sold copies count more than comments.
Example:
http://localhost:8093/solr/select?defType=dismax&author:(j.k.
rowling)&qf=author^5.0 author_exact^1000.0 title^10.0
descr^0.2&fq=log(sum(num_copies,1))^1000.0 log(sum(num_comments,1))^100.0
Also a hint for this kind of fields is to disable field normalization
(omitNorms="true")
--
Jan Høydahl, search solution architect
Cominvent AS - www.cominvent.com
