docbrown/app/labor/user_similarity.rb

59 lines
2.4 KiB
Ruby

class UserSimilarity
STOP_WORDS = %w[
a cannot into our thus about co is ours to above
could it ourselves together across down its out too
after during itself over toward afterwards each last own
towards again eg latter per under against either latterly
perhaps until all else least rather up almost elsewhere
less same upon alone enough ltd seem us along etc
many seemed very already even may seeming via also ever
me seems was although every meanwhile several we always
everyone might she well among everything more should were
amongst everywhere moreover since what an except most so
whatever and few mostly some when another first much
somehow whence any for must someone whenever anyhow
former my something where anyone formerly myself sometime
whereafter anything from namely sometimes whereas anywhere
further neither somewhere whereby are had never still
wherein around has nevertheless such whereupon as have
next than wherever at he no that whether be hence
nobody the whither became her none their which because
here noone them while become hereafter nor themselves who
becomes hereby not then whoever becoming herein nothing
thence whole been hereupon now there whom before hers
nowhere thereafter whose beforehand herself of thereby why
behind him off therefore will being himself often therein
with below his on thereupon within beside how once
these without besides however one they would between i
only this yet beyond ie onto those you both if or
though your but in other through yours by inc others
throughout yourself can indeed otherwise thru yourselves'
].freeze
attr_accessor :first_user, :second_user
def initialize(first_user, second_user)
@first_user = first_user
@second_user = second_user
end
def score
profile_score + tag_score
end
def profile_score
summary_score = (first_user.summary.to_s.split(" ") & second_user.summary.to_s.split(" ") - STOP_WORDS).size
mostly_work_with_score = (first_user.mostly_work_with.to_s.split(" ") & second_user.mostly_work_with.to_s.split(" ") - STOP_WORDS).size
summary_score + mostly_work_with_score
end
def tag_score
tag_intersection.delete("discuss")
tag_intersection.delete("hiring")
tag_intersection.size * 2
end
def tag_intersection
first_user.cached_followed_tag_names & second_user.cached_followed_tag_names
end
end