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Thomas Hille
2017-02-23 19:12:22 +01:00
parent 4796dd5c9d
commit fe8b04fcfc
1 changed files with 21 additions and 17 deletions
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38
app/models/proxy_exercise.rb
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@ -40,24 +40,23 @@ class ProxyExercise < ActiveRecord::Base
end
def findMatchingExercise(user)
#exercises.shuffle.first
# hier vielleicht nur betrachten wenn der user die aufgabe assessed oder submitted hat
exercisesUserHasAccessed = user.submissions.where("cause IN ('submit','assess')").map{|s| s.exercise}.uniq
tagsUserHasSeen = exercisesUserHasAccessed.map{|ex| ex.tags}.uniq.flatten
puts "exercisesUserHasAccessed #{exercisesUserHasAccessed}"
Rails.logger.info("exercisesUserHasAccessed #{exercisesUserHasAccessed.map{|e|e.id}.join(",")}")
# find execises
potentialRecommendedExercises = []
exercises.each do |ex|
## find exercises which have tags the user has already seen
## find exercises which have only tags the user has already seen
if (ex.tags - tagsUserHasSeen).empty?
potentialRecommendedExercises << ex
end
end
Rails.logger.info("potentialRecommendedExercises: #{potentialRecommendedExercises.map{|e|e.id}}")
# if all exercises contain tags which the user has never seen, recommend easiest exercise
if potentialRecommendedExercises.empty?
getEasiestExercise(exercises)
else
puts "potentialRecommendedExercises: #{potentialRecommendedExercises}"
recommendedExercise = selectBestMatchingExercise(user, exercisesUserHasAccessed, potentialRecommendedExercises)
recommendedExercise
end
@ -66,26 +65,33 @@ class ProxyExercise < ActiveRecord::Base
def selectBestMatchingExercise(user, exercisesUserHasAccessed, potentialRecommendedExercises)
topic_knowledge_user_and_max = getUserKnowledgeAndMaxKnowledge(user, exercisesUserHasAccessed)
puts "topic_knowledge_user_and_max: #{topic_knowledge_user_and_max}"
puts "potentialRecommendedExercises: #{potentialRecommendedExercises.size}: #{potentialRecommendedExercises.map{|p| p.title}}"
puts "potentialRecommendedExercises: #{potentialRecommendedExercises.size}: #{potentialRecommendedExercises.map{|p| p.id}}"
topic_knowledge_user = topic_knowledge_user_and_max[:user_topic_knowledge]
topic_knowledge_max = topic_knowledge_user_and_max[:max_topic_knowledge]
current_users_knowledge_lack = {}
topic_knowledge_max.keys.each do |tag|
current_users_knowledge_lack[tag] = topic_knowledge_user[tag] / topic_knowledge_max[tag]
end
relative_knowledge_improvement = {}
potentialRecommendedExercises.each do |potex|
tags = potex.tags
relative_knowledge_improvement[potex] = 0.0
puts "potex #{potex}"
Rails.logger.info("review potential exercise #{potex.id}")
tags.each do |tag|
tag_ratio = potex.exercise_tags.where(tag: tag).first.factor.to_f / potex.exercise_tags.inject(0){|sum, et| sum += et.factor }.to_f
max_topic_knowledge_ratio = potex.expected_difficulty * tag_ratio
old_relative_loss_tag = topic_knowledge_user[tag] / topic_knowledge_max[tag]
new_relative_loss_tag = topic_knowledge_user[tag] / (topic_knowledge_max[tag] + max_topic_knowledge_ratio)
puts "tag #{tag} old_relative_loss_tag #{old_relative_loss_tag}, new_relative_loss_tag #{new_relative_loss_tag}, max_topic_knowledge_ratio #{max_topic_knowledge_ratio} tag_ratio #{tag_ratio}"
puts "tag #{tag} old_relative_loss_tag #{old_relative_loss_tag}, new_relative_loss_tag #{new_relative_loss_tag}, min_loss_after_solving #{topic_knowledge_max[tag] + max_topic_knowledge_ratio} tag_ratio #{tag_ratio}"
relative_knowledge_improvement[potex] += old_relative_loss_tag - new_relative_loss_tag
end
end
puts "relative improvements #{relative_knowledge_improvement}"
exercise_with_greatest_improvements = relative_knowledge_improvement.max_by{|k,v| v}.first
exercise_with_greatest_improvements
best_matching_exercise = relative_knowledge_improvement.max_by{|k,v| v}.first
Rails.logger.info(current_users_knowledge_lack.map{|k,v| "#{k} => #{v}"})
Rails.logger.info("relative improvements #{relative_knowledge_improvement.map{|k,v| k.id.to_s + ':' + v.to_s}}")
best_matching_exercise
end
# [score][quantile]
@ -109,8 +115,6 @@ class ProxyExercise < ActiveRecord::Base
Rails.logger.debug("scoring user #{user.id} for exercise #{ex.id}: points_ratio=#{points_ratio} score: 0" )
return 0.0
end
puts points_ratio
puts ex.maximum_score.to_f
points_ratio_index = ((scoring_matrix.size - 1) * points_ratio).to_i
working_time_user = Time.parse(ex.average_working_time_for_only(user.id) || "00:00:00").seconds_since_midnight
quantiles_working_time = ex.getQuantiles(scoring_matrix_quantiles)
@ -155,14 +159,14 @@ class ProxyExercise < ActiveRecord::Base
topic_knowledge_loss_user = all_used_tags.map{|t| [t, 0]}.to_h
topic_knowledge_max = all_used_tags.map{|t| [t, 0]}.to_h
exercises.each do |ex|
puts "exercise: #{ex}"
Rails.logger.info("exercise: #{ex.id}: #{ex}")
user_score_factor = score(user, ex)
ex.tags.each do |t|
tag_ratio = ex.exercise_tags.where(tag: t).first.factor.to_f / ex.exercise_tags.inject(0){|sum, et| sum += et.factor }.to_f
puts "tag: #{t}, factor: #{ex.exercise_tags.where(tag: t).first.factor}, sumall: #{ex.exercise_tags.inject(0){|sum, et| sum += et.factor }}"
puts "tag_ratio #{tag_ratio}"
Rails.logger.info("tag: #{t}, factor: #{ex.exercise_tags.where(tag: t).first.factor}, sumall: #{ex.exercise_tags.inject(0){|sum, et| sum += et.factor }}")
Rails.logger.info("tag_ratio #{tag_ratio}")
topic_knowledge_ratio = ex.expected_difficulty * tag_ratio
puts "topic_knowledge_ratio #{topic_knowledge_ratio}"
Rails.logger.info("topic_knowledge_ratio #{topic_knowledge_ratio}")
topic_knowledge_loss_user[t] += (1 - user_score_factor) * topic_knowledge_ratio
topic_knowledge_max[t] += topic_knowledge_ratio
end