Fengtan created SOLR-8124:
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Summary: Adjust relevance based on user click/feedback
Key: SOLR-8124
URL: https://issues.apache.org/jira/browse/SOLR-8124
Project: Solr
Issue Type: New Feature
Components: search
Reporter: Fengtan
It may be interesting to be able to bias the score of documents based on user
feedback. For instance, if query q=solr+rocks returns 2 documents A and B, and
if most people click on document B, then document B could be given a higher
score given that it seems to satisfy most people.
A solution would be to have a field 'popularity' containing the number of times
people clicked on that document. Search queries would then boost documents with
a high 'popularity' (as described in [this
presentation|http://www.slideshare.net/lucenerevolution/potter-timothy-boosting-documents-in-solr]).
The problem with the above is that the document's popularity would be global.
Ideally, the document's popularity would depend on the search query (possibly
parameters q and fq). For instance a document titled 'solr cookbook' might be
popular for a query q=solr+rocks but not for q=cook+cake.
Hence a possible solution would be to maintain some kind of map between
"document ID + query" and "popularity". The popularity could be exposed in a
field so search queries could use it in boost clauses. I am guessing we would
need to create a new SearchComponent.
Other search engines seem to support this kind of feature, for instance the
Google Search Appliance provides a [/click
protocol|http://www.google.com/support/enterprise/static/gsa/docs/admin/70/gsa_doc_set/xml_reference/advanced_search_reporting.html]
and LucidWorks provides a [Click Scoring Relevance
Framework|https://docs.lucidworks.com/display/lweug/Click+Scoring+Relevance+Framework].
Does this sound worthy ? I could not find any other ticket dealing with this so
opening this one to check people's opinion.
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