Overall idea: Use collaborative filtering to do the job matching
a. data cleaning
1.extract useful words from job description
2.Clustering jobs
b. user profiling
Examine the job that users are really interested
a. Revisit Data
b. Readtime data
c. Activity data
c .Do collaborative filtering on these data
Future steps overview:
cluster-based CF: The list of jobs recommended according to the cluster-based ACF approach. That is, each target user is recommended the most frequent jobs in its virtual community (Definition 3)