similar to: Ferret 0.10 and Fields

Hi! I thought I understood Ferret''s query scoring and how to tweak results using boost values. What I currently experience however, leaves me completely baffled. Perhaps someone can shed some light on the scoring algorithm, because asking Ferret to "explain" the score for a particular document isn''t as informative as I thought. Actually, it confuses me even

I''m running: ferret (0.10.9) ruby 1.8.5 (2006-08-25) [i386-mswin32] on Windows XP(SP2) When I create an index as follows: field_infos = FieldInfos.new(:store => :yes, :term_vector => :no, :index => :yes) field_infos.add_field(:id, :index => :untokenized) field_infos.add_field(:subject) field_infos.add_field(:author) field_infos.add_field(:tags, :store => :no) index =

Lucene, and perhaps most search engines, are biased towards small fields with little content (where thus the term frequency is higher). Lucene has the option to define a custom (Similarity) class to calculate the similarity between two fields (custom calculation of lengthNorm and tf) in different documents. But how do I do this in ferret? (I know to boost a field, but this is not what I

Hi, We have an index of around 1M web pages as part of our web app. The app uses ferret by way of RDig to perform searches. We have noticed anecdotally that some searches don''t work the way we thought they should, as if documents were missing from the index. Yesterday we came upon a concrete instance of this. Our documents have several fields, one of which is called :keywords and

Hi, I have a model which has properties, these are your standard name/value pairs, but also have attributes that affect how I want to store them in ferret. I was using 0.9.5 with 0.2 of aaf, which seemed fine, I just copied and pasted (yes, I know, ick) the to_doc method and added code to iterate though the properties that that model had, and add relavent fields to the document. It seems

Hi, I''ve listened in to this mail list for quite a while now but not doing anything with Ferret until I was ready to incorporate it. I''ve used Lucene for years, but not Ferret. I downloaded and installed the ''bleeding edge'' version (lets call it 0.10.9.1). There appears to be a significant re-working of the API happening. It all looks good. But there

Just a quick note for future reference - at least for me, ferret won''t work on Ruby 1.8.4. gem install ferret Successfully installed ferret-0.11.4-mswin32 ruby -v ruby 1.8.4 (2005-12-24) [i386-mswin32] irb irb(main):001:0> require ''ferret'' A windows error message box appears - ruby.exe - Entry Point Not Found The procedure entry point rb_w32_write could not be

I have a lot of crashes when I try to use term vectors. Here''s an example, which crashes pretty consistently. This problem seems to be somewhat sensitive to platform... people on other OS''s and ruby versions have reported no error. I have seen this with ferret 0.10.13 and 0.10.14 on debian stable using ruby 1.8.2, but I have observed the same problem on various other systems as

I''m getting "uninitialized constant UNTOKENIZED" when I try to do something like the following: class Url < ActiveRecord::Base acts_as_ferret :fields => {''name'' => {}, ''description'' => {}, ''url'' => {:index => Ferret::Document::Field::Index::UNTOKENIZED},

The following script creates a search index and then searches it. I get no results? Where am I going wrong? Thanks. -----------BEGIN SCRIPT---------------- require ''rubygems'' require ''ferret'' include Ferret path = ''/tmp/myindex'' field_infos = Ferret::Index::FieldInfos.new() field_infos.add_field(:name, :store => :yes, :index => :yes)

I have found another crash in ferret; this one just uses a regular search. It''s similar to an issue reported by Matt Schnitz a while ago, but unlike his, mine does not go away if I turn off omit_norms. It does go away if I turn on the garbage collector more often, but I''m not sure that''s a stable workaround under the circumstances. This one isn''t a

Hello all I finally caved in and decided I should build my own query instead of relying on QueryParser to do the job for me, but I''ve hit a strange problem.. Here''s how I build my query: #Main query query = Ferret::Search::BooleanQuery.new #Build query to match types typesquery = Ferret::Search::BooleanQuery.new @selected_types.each{|type| typesquery.add_query(

Okay in this plea for help I''m going to repeat some of what i posted before but with a larger amount of background info in the hope that i can get a decent grip on ferret before it wriggles away.. Firstly, what does installing the acts_as_ferret plugin actually do? I install it and add it to my model and then the index is automatically generated and a few methods are added to it and

Hi Dave, I''ve been getting some segment faults while running my tests using 0.10.14 gem so I decided to package the gem locally to add -dH and generate core dumps for you. So I followed instructions here http://ferret.davebalmain.com/trac/wiki/DownloadCurrent and first off ran the tests. I''m getting the following failures. (see this pastie http://pastie.caboo.se/34790). I

Dear All I have run the following GLM binominal model on a dataset composed by the following variables: TRAN_DURING_CAMP_FLG enviados bono_recibido 0 1 benchmark 0 1 benchmark 0 1 benchmark 0 1 benchmark 0 1 benchmark 0 1

I have to build an array through both activerecord and also through a ferret index. I was hoping to find a way of sorting the array as i combine the two so def advanced_search(search_text, store, format, sortby) # find items in ferret index items = Item.find_by_contents(search_text) # and now find all the items from a certain store or category items_from_sql = Item.find_by_sql("SELECT *

I''m trying to highlight keyword snippets using the highlight method of the results returned from find_by_contents (the actual models), but always come up with an empty array. Any ideas what could be going wrong? -- Posted via http://www.ruby-forum.com/.

Hi, I upgraded from 0.3.2 to 0.9.0, and now my old search code doesn''t work anymore. I get a lot of ArgumentErrors, for example: "query.add_clause(Search::BooleanClause.new(query_parser.parse(term), Search::BooleanClause::Occur::MUST))" raises: ArgumentError (wrong number of arguments (2 for 0)) "index_searcher.search_each(query)" raises: ArgumentError

Hey guys, Now that the Lucy[1] project has Apache approval and is about to begin, the onus is no longer on Ferret to strive for Lucene compatability. (We''ll be doing that in Lucy). So I''m starting to think about ways to improve Ferret''s API. The first part that needs to be improved is the Document API. It''s annoying having to type all the attributes to

I''ve installed the latest Win32 gem and the acts_as_ferret plugin (i checked out the files and placed them in the vendor/plugins directory). When I try to search I get the following error: uninitialized constant BooleanClause RAILS_ROOT: ./script/../config/.. Application Trace | Framework Trace | Full Trace