Azure Search
Azure Search is a search-as-a-service solution that allows developers to incorporate a sophisticated search experience into web and mobile applications without having to worry about the complexities of full-text search and without having to deploy, maintain or manage any infrastructure
-
Random Scoring
See here https://www.elastic.co/guide/en/elasticsearch/guide/current/random-scoring.html
This has come up in the past on SO by other users as well.3 votes -
Add machine learned ranking models
Similar to Solr's (small) capabilities
https://cwiki.apache.org/confluence/display/solr/Learning+To+Rank18 votes -
12 votes
-
Extend Tag Boosting by "searching" instead of "filtering"
Azure Search with Tag Boosting will give a boost to documents that have "exact" tags in common with the input query.
If a tag in index is "salt lake city" and one from query is "salt lake", the document doesn't get a boost. Even worse, since I believe Tag matching is using "filter" routine, it is case-sensitive.
Yes, we can do multi-column search, but one column search with tag boosting is a way more fast and returns better relevance results focusing on the main column.
So it would be great if Azure Search extends the current Tag Boosting to use…
47 votes -
extend scoring profile to support list
As described in this link
http://stackoverflow.com/questions/27117663/azure-search-scoring-profile-on-list11 votes -
Proximity ranking
when searching for two or more terms, give a higher rank value to terms near to each other
15 votes
- Don't see your idea?
