NAME

       LucyX::Index::LongFieldSim - Similarity optimized for long fields.

SYNOPSIS

           package MySchema::body;
           use base qw( Lucy::Plan::FullTextType );
           use LucyX::Index::LongFieldSim;
           sub make_similarity { LucyX::Index::LongFieldSim->new }

DESCRIPTION

       Apache Lucy's default Similarity implmentation produces a bias towards extremely short
       fields.

           Lucy::Index::Similarity

           | more weight
           | *
           |  **
           |    ***
           |       **********
           |                 ********************
           |                                     *******************************
           | less weight                                                        ****
           |------------------------------------------------------------------------
             fewer tokens                                              more tokens

       LongFieldSim eliminates this bias.

           LucyX::Index::LongFieldSim

           | more weight
           |
           |
           |
           |*****************
           |                 ********************
           |                                     *******************************
           | less weight                                                        ****
           |------------------------------------------------------------------------
             fewer tokens                                              more tokens

       In most cases, the default bias towards short fields is desirable.  For instance, say you
       have two documents:

       •   "George Washington"

       •   "George Washington Carver"

       If a user searches for "george washington", we want the exact title match to appear first.
       Under the default Similarity implementation it will, because the "Carver" in "George
       Washington Carver" dilutes the impact of the other two tokens.

       However, under LongFieldSim, the two titles will yield equal scores.  That would be bad in
       this particular case, but it could be good in another.

            "George Washington Carver is cool."

            "George Washington Carver was born on the eve of the US Civil War, in
            1864.  His exact date of birth is unknown... Carver's research in crop
            rotation revolutionized agriculture..."

       The first document is succinct, but useless.  Unfortunately, the default similarity will
       assess it as extremely relevant to a query of "george washington carver".  However, under
       LongFieldSim, the short-field bias is eliminated, and the addition of other mentions of
       Carver's name in the second document yield a higher score and a higher rank.