Using Interaction Signals for Job Recommendations
- Cite this paper as:
- Kille B., Abel F., Hidasi B., Albayrak S. (2015) Using Interaction Signals for Job Recommendations. In: Sigg S., Nurmi P., Salim F. (eds) Mobile Computing, Applications, and Services. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 162. Springer, Cham
Job recommender systems depend on accurate feedback to improve their suggestions. Implicit feedback arises in terms of clicks, bookmarks and replies. We present results from a member inquiry conducted on a large-scale job portal. We analyse correlations between ratings and implicit signals to detect situations where members liked their suggestions. Results show that replies and bookmarks reflect preferences much better than clicks.