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    <p>It sounds like you are catering for a corpus with searches that you need to match very loosely?</p> <p>If you are doing that you will want to choose your fields and set different boosts to rank your results.</p> <p>So have separate "copied" fields in solr:</p> <ul> <li>one field for exact full name (with filters) </li> <li>multivalued field with filters ASCIIFolding, Lowercase... </li> <li>multivalued field with the SynonymFilterFactory ASCIIFolding, Lowercase... </li> <li>PhoneticFilterFactory (with <a href="http://en.wikipedia.org/wiki/Caverphone" rel="nofollow noreferrer">Caverphone</a> or <a href="http://en.wikipedia.org/wiki/Double_Metaphone#Double_Metaphone" rel="nofollow noreferrer">Double-Metaphone</a>)</li> </ul> <p><a href="https://stackoverflow.com/questions/1419882/enabling-soundex-metaphone-for-non-english-characters">See Also: more non-english Soundex discussion</a></p> <p>Synonyms for names, I don't know if there is a public synonym db available.</p> <p>Fuzzy searching, I've not found it useful, it uses Levenshtein Distance. </p> <p>Other filters and indexing get more superior "search relevant" results.</p> <p>Unicode characters in names can be handled with the <a href="http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters#solr.ASCIIFoldingFilterFactory" rel="nofollow noreferrer">ASCIIFoldingFilterFactory</a></p> <p>You are describing solutions up front for expected use cases.</p> <p>If you want quality results, plan on tuning your <a href="http://www.lucidimagination.com/Community/Hear-from-the-Experts/Articles/Search-Application-Relevance-Issues" rel="nofollow noreferrer">Search Relevance</a></p> <p>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).</p>
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    1. COThank you for your reply. Since I was in a hurry to implement this feature, I removed some features and implemented it the following way (it's mostly similar to your suggestion): 1) Added a field with full name (as you said) 2) Created an analyzer with Lowercase, ASCIIFolding and n-gram analyzer (for auto-suggest) 3) Added a SynonymFilter I also used the edismax query parser. Since your solution was close to my attempt; I'll mark this answer as correct. :) Thank you again for your time!
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