NLP-Based Bi-Directional Recommendation System: Towards Recommending Jobs to Job Seekers and Resumes to Recruiters.
Suleiman Ali AlsaifMinyar Sassi HidriImen FerjaniHassan Ahmed ElerakyAdel HidriPublished in: Big Data Cogn. Comput. (2022)
Keyphrases
- bi directional
- job market
- job search
- collaborative filtering
- recommender systems
- information technology
- processing times
- personalized recommendation
- natural language processing
- job scheduling
- identical parallel machines
- flowshop
- single machine scheduling problem
- release times
- maximum lateness
- identical machines
- scheduling jobs
- single machine
- scheduling problem
- recommendation systems
- release dates
- batch processing
- natural language
- web development
- deteriorating jobs
- wordnet
- computational linguistics
- asymptotic optimality
- special case
- information extraction
- text mining
- question answering
- machine translation
- associative memory
- completion times
- parallel machine scheduling problem
- user interests
- fixed number
- parallel machines
- user ratings
- precedence constraints
- user preferences
- sequence dependent setup times
- user profiles
- limited capacity
- support vector machine
- worst case performance ratio