similar to: Fuzzy Searches with Multiple Terms

Hi. I didn''t notice if topic has already been discussed, but I was wondering if there was a way to make ferret match only part of a search term. My initial thought was some sort of filter, but I''m unsure of where to begin. An example in the comments of the acts_as_ferret tutorial at RailsEnvy (http://www.railsenvy.com/2007/2/19/acts-as-ferret-tutorial) suggests: To return the

Hi, I''ve got a question about FuzzyQueries. Say I''m doing a search for people by name, and I want to allow fuzzy results if there aren''t enough hits with a regular query. This is easy enough; just redo the search with the fuzzy query if original_results.total_hits is less than some threshold. However, I would like the exact-match results to have a higher score

Hello, My Ferret integration has gone quite well. I''m now returning all the results I need from two models using "id_multi_search" and combining the results in the view using a couple of partials. Is there any way that I can turn on fuzzy searching? Would fuzzy searching pick up basic spelling mistakes such as "Bnadit" instead of "Bandit" my experience

I''m trying to use Ferret to do fuzzy searches. If I use fuzzy search for just one word, it works fine: index.search(''name:gogle~0.4'') However, if I try to use a phrase, it doesn''t work: index.search(''name:"gogle search engine"~0.4'') On the other hand, I could do: index.search(''name:gogle~0.4 AND

Hi there, I''d like to be able to tune the results of a Fuzzy search in a rails application. I''ve tried setting the following in my environment.rb file. Ferret::Search::FuzzyQuery.default_min_similarity = 0.75 Ferret::Search::FuzzyQuery.default_prefix_length = 2 When I go into the console, I can see those values as the default but when I run a search like

I''m not on AAF. Can someone else help Raymond with an example? On 12/6/06, Raymond O''connor <nappin713 at yahoo.com> wrote: > > Matt Schnitz wrote: > > You also need to stem-analyze the incoming query. > > > > I had this same problem. :^> > > > > > > Schnitz > > Do you have an example of how to do this? I''m using

I just submitted this to Trac, including a proposed fix. I''ve never really used Trac before, so hopefully I did the right thing. Anyway, in case anyone else runs into this, the problem is that fuzzy search fails if some of your saved fields are larger than Ferret::Search::TYPICAL_LONGEST_WORD_IN_INDEX. This won''t happen in all cases where your fields are larger (for example,

Hello. Forgive my ignorance if this has been covered. I searched through the archives and didn''t find anything. All the blogs, tutorials, documentation I''m reading on acts_as_ferret say that to use fuzzy searching, I simply append a ~ to my query. I''m using Ferret 0.11.3 and the newest (should be) acts_as_ferret plugin. I can only get perfect matches to show up

Hi, Just downloaded the new ferret 0.11. I''m on OSX btw. I get this error everytime I run my unit tests: Loaded suite ferret_updater_unit_test Started E/usr/local/lib/ruby/1.8/erb.rb:504: [BUG] Segmentation fault ruby 1.8.4 (2005-12-24) [i686-darwin8.7.1] Abort trap When I revert back to 10.14 I dont get this error. When I comment out the line: Ferret::Index::Index.new({:path =>

Hi guys, Is there some way of getting ferret matches string, when i do a fuzzy search? The scenario is this: 1. The user search for ''show'' 2. Nothing was found 3. So I do a fuzzy search, passing ''show~'' 4. It gives me somes results, most of all was matched with ''showcase'' 5. So I want to tell the user that: Nothing was found with

There are certain queries that I can execute that will cause a completely repeatable segmentation fault at the point where the search or search_each leaves my control and goes into the ferret libraries. I tried deleting my indexes and recreating them, and even so the exact same queries seg fault repeatedly after. Usually a one character change will make them succeed. Changing away from a

What is the best way to search a (possibly long) string of free-form text (like, say, an email) for occurrances of some set of key phrases of interest? Fuzzy or not; I''ll take what I can get. Thanks in advance! -- Sonia Lyris | slyris at gmail.com

Is there a way to search a ferret index and have it only display exact matches? I read in other posts that you should have an untokenized field for the exact matches, but I also use the same field for doing unexact matches too (with the stemming analyzer). Would I need a copy of this field in the index untokenized to do an exact match or is there any sort of flag or something I could pass to

Hi all, I am trying to implement a search that will use the Stem Analyzer. I added the Stem Anaylzer from the examples shown in another post http://ruby-forum.com/topic/80178#147014 module Ferret::Analysis class StemmingAnalyzer def token_stream(field, text) StemFilter.new(StandardTokenizer.new(text)) end end end The problem with the Stem analyzer is that when I search for a

Hi All, I was wondering if anyone had experience of extending AAF plugin for Rails to implement a broader query ? The documentation and the demo provided on the http://projects.jkraemer.net/acts_as_ferret/ wiki seems to only match full text queries, or partial when using a * wildcard. Ideally, I am trying to acheive something similar to the following (pseudo code): def search @query

Hi - I''m currently investigating support for Ferret and content that spans multiple locales. I am particularly interested in using stemming and fuzzy searches (e.g. with slop factor) across multiple locales. So far I''ve followed the online docs for implementing a Stemming Analyzer, and it is working for English terms just fine. I''ve also written a method to import data

Lucene has a syntax "foo bar"~10 for finding foo within 10 words of bar. Does ferret support this feature? (the ~ is used for fuzzy queries) Does rdig? This could be a deal breaker for me ''cos I really need proximity searches -- Posted via http://www.ruby-forum.com/.

Hi, everyone, Just wondering if someone had come up with a good way to do fuzzy searches if you use MySQL as your database (we tried switching to PostgreSQL, but that ended up adding even more problems). Ferret sounds great, but reading through the discussion it looks like we need to solve the problem of write conflicts. I just wrote a post in ruby-talk about using KirbyBase maybe to solve

Hi! I have a patch and several thoughts about FTS in dovecot. I. SOLR v5.1 and above doesn't allow GET /select queries with Content-Type header set, so, I just removed it from the code: --- dovecot-2.2.18/src/plugins/fts-solr/solr-connection.c 2015-05-13 17:14:45.000000000 +0300 +++ dovecot-2.2.18.patch/src/plugins/fts-solr/solr-connection.c 2015-09-27 19:47:40.363843359 +0300 @@ -432,7

This may be offtopic to Rails, but what are people doing to find records based on fuzzy string matches? For example, if you wanted to find a Person with name "David Heinemeier Hansson" but searched using the string "Dave Hansson". Currently I am find_by_sql that calls the PostgreSQL function "levenshtein(string1, string2)" which returns results with a score