I’ve just ventured into the seemingly simple but extremely complex world of searching. For an application, I am required to build a search mechanism for searching users by their names.
After reading numerous posts and articles including:
How can I use Lucene for personal name (first name, last name) search?
http://dublincore.org/documents/1998/02/03/name-representation/
what's the best way to search a social network by prioritizing a users relationships first?
http://www.gossamer-threads.com/lists/lucene/java-user/120417
Lucene Index and Query Design Question – Searching People
Lucene Fuzzy Search for customer names and partial address
… and a few others I cannot find at-the-moment. And getting at-least indexing and basic search working in my machine I have devised the following scheme for user searching:
1) Have a first, second and third name field and index those with Solr
2) Use edismax as the requestParser for multi column searching
3) Use a combination of normalization filters such as: transliteration, latin-to-ascii convesrion, etc.
4) Finally use fuzzy search
Evidently, being very new to this I am unsure if the above is the best way to do it and would like to hear from experienced users who have a better idea than me in this field.
I need to be able to match names in the following ways:
1) Accent folding: Jorn matches Jörn and vise versa
2) Alternative spellings: Karl matches Carl and vice versa
3) Shortened representations (I believe I do this with the SynonymFilterFactory): Sue matches Susanne, etc.
4) Levenstein matching: Jonn matches John, etc.
5) Soundex matching: Elin and Ellen
Any guidance, criticisms or comments are very welcome. Please let me know if this is possible … or perhaps I’m just day-dreaming. 🙂
EDIT
I must also add that I also have a fullname field in case some people have long names, as an example from one of the posts: Jon Paul or Del Carmen should also match Jon Paul Del Carmen
And since this is a new project, I can modify the schema and architecture any way I see fit so there are very limited restrictions.
It sounds like you are catering for a corpus with searches that you need to match very loosely?
If you are doing that you will want to choose your fields and set different boosts to rank your results.
So have separate “copied” fields in solr:
See Also: more non-english Soundex discussion
Synonyms for names, I don’t know if there is a public synonym db available.
Fuzzy searching, I’ve not found it useful, it uses Levenshtein Distance.
Other filters and indexing get more superior “search relevant” results.
Unicode characters in names can be handled with the ASCIIFoldingFilterFactory
You are describing solutions up front for expected use cases.
If you want quality results, plan on tuning your Search Relevance
This tuning will be especially valuable, when attempting to match on synonyms, like MacDonald and McDonald (which has a larger Levenshtein distance than Carl and Karl).