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There is not really a trade off required. Given the task which is to look for 'good' urls that match as closely as possible 1 or more words you want to do something like (pseurocode)

# get the domain part dropping www. and passing back the # domain and tld (ie .com .net) or sld.tld (ie co.uk, com.au ) my ($domain, $tld) = get_domain( $url ); # chop domain into all possible substrings say 3-16 chars long, retrun + ary ref # there are very few valid well known words > 16 chars, virtually none + > 24 chars my $tokens = tokenize( $domain ); # get the possible words ordered by length(word) DESC ie longest first # use a hash lookup or a RDBMS with a dynamicly generated SQL IN claus +e my $words = get_real_words_from_dict( $tokens ) # substitute out the words, as we remove longest first # we aviod finding substrings like 'be' in 'beetle' my $residual = $domain; my @words = (); for my $word( @$words ) { # we may have duplicates of same word push @words, $word while $residual =~ s/\Q$word\E/; } # remove '-' from residual so 'come-here' will be two words, no residu +al $residual =~ s/-//g; # work out % residual $residual = 100*$residual/$domain; # So now we have our data # @words 0..N is number of words found # $residual is the %residual on that domain name # $tld is the domain name # say we inserted into a Db table like: CREATE TABLE urls ( url CHAR(75), words INT, residual FLOAT, tld CHAR(10), ) "INSERT INTO urls (url,words, residual, tld) VALUES(?,?,?,?)", $url, scalar @words, $residual, $tld You can now generate reports. Essentially you want something like: SELECT url FROM urls WHERE words >= 1 ORDER BY words ASC, residulal ASC GROUP BY tld

This does not apply limits or add bias for say a pref for .com domain names. It will output urls with single word, lowest->highest residual first, then two words etc. Given what you want if the residual is > 10-20% you can probably just ignore those URLs and not insert them.

cheers

tachyon


In reply to Re: Re: Re: Finding dictionary words in a string. by tachyon
in thread Finding dictionary words in a string. by ehdonhon

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