Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Applying data mining techniques in job recommender system for considering candidate job preferences
Machine learned job recommendation
A Reciprocal Recommender System for Graduates' Recruitment
Choice-based preference elicitation for collaborative filtering recommender systems
Recommendation of Job Offers Using Random Forests and Support Vector Machines
Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry
Practical Lessons for Job Recommendations in the Cold-Start Scenario
Job Recommendation from Semantic Similarity of LinkedIn Users' Skills
an integrated e - recruitment system for automated personality mining and applicant ranking .
Getting to know you: learning new user preferences in recommender systems
Extending Knowledge-Based Profile Matching in the Human Resources Domain
Application of Machine Learning Algorithms to an online Recruitment System
Chapter 2 Data Mining Methods for Recommender Systems
Preference learning in recommender systems
FoDRA — A new content-based job recommendation algorithm for job seeking and recruiting
Matching resumes and jobs based on relevance models
An improved deep neural network model for job matching
Methods of recommender system: A review
Using social data for resume job matching
Personality-based recommender systems: an overview
Recommender system based on workflow
A new bite block for panoramic radiographs of anterior edentulous patients: A technical report
Interactive reinforcement learning for task-oriented dialogue management
Structured Parallel Programming for Monte Carlo Tree Search
Novel anti-B-cell maturation antigen antibody-drug conjugate (GSK2857916) selectively induces killing of multiple myeloma
Classification and Regression Trees