text: # EMPLOYERS_DATA_PATH = r'C:\Users\ASUS\Desktop\repositories\job_recommender\data\companies.csv'
  # JOBS_DATA_PATH = r'C:\Users\ASUS\Desktop\repositories\job_recommender\data\jobs.csv'
  # CV_DATAPATH = r'C:\Users\ASUS\Desktop\repositories\job_recommender\data\cvdata\ResumeDataSet.csv'
  
  LOG_FILE_PATH = '/home/huynhhao/Desktop/job_recommender/recommender/core/log.txt'
  EMPLOYERS_DATA_PATH = '/home/huynhhao/Desktop/job_recommender/data/companies.csv'
  JOBS_DATA_PATH = '/home/huynhhao/Desktop/job_recommender/data/jobs.csv'
  CV_DATAPATH = '/home/huynhhao/Desktop/job_recommender/data/cvdata/ResumeDataSet.csv'
  NETWORK_DATA_PATH = '/home/huynhhao/Desktop/job_recommender/data/network_data'
  NETWORK_BUILDER_SAVE_PATH = '/home/huynhhao/Desktop/job_recommender/data/network_data/network_builder.pkl'
  
  VOCAB_PATH = '/home/huynhhao/Desktop/job_recommender/data/network_data/vocab.json'
  LSA_COMPARER_PATH = '/home/huynhhao/Desktop/job_recommender/data/network_data/lsa.pkl'
  
  
  # Edge weights
  #  
  POSTED_WEIGHT = 1
  APPLIED_WEIGHT = 2
  
  EMPLOYER_TO_EMPLOYER_WEIGHT = 1
  JOB_TO_JOB_WEIGHT = 1
  CANDIDATE_TO_CANDIDATE_WEIGHT = 1
  CANDIDATE_TO_JOB_WEIGHT = 1
  
  PROFILE_MATCH_WEIGHT = 1
  EXPERTISE_MATCH_WEIGHT = 1
  
  FAVORITE_WEIGHT = 1
  LIKE_WEIGHT  = 0.5
  VISIT_WEIGHT = 0.2
  
  
  NUM_REDUCED_FEATURES = 0.3
  # How many neighbors should one node connect to, if it's float, it's the ratio
  # of all node considered. 
  NEIGHBOR_RATIO = 0.01
  PROFILE_MATCHED_NEIHBOR_RATIO = 0.01
  SIMILARITY_METHOD = 'cosine'
  
  # Two nodes are considered similar if they have the cosine similarity > this threshold
  COSINE_SIMILARITY_THRESHOLD = 0.4
  PROFILE_MATCHED_SIMILARITY_THRESDHOLD = 0.4
  
  # damping probability for PageRank
  alpha = 0.5