Jan Rybak
Krisztian Balog
Kjetil Nørvåg
ABSTRACT
This paper presents ExperTime, a web-based system for tracking expertise over time. We visualize a person's expertise profile on a timeline, where we detect and characterize changes in the focus or topics of expertise. It is possible to zoom in on a given time period in order to examine the underlying data that is used as supporting evidence. It is also possible to perform visual and quantitative comparison of two arbitrarily selected time periods in a highly interactive environment. We invite profile owners to evaluate and fine-tune their profiles, and to leave feedback.
- K. Balog, Y. Fang, M. de Rijke, P. Serdyukov, and L. Si. Expertise retrieval. Found. Trends Inf. Retr., 6(2--3):127--256, 2012. Google Scholar
Digital Library
- H. Deng, I. King, and M. R. Lyu. Formal models for expert finding on dblp bibliography data. In Proceedings of ICDM'08, 2008. Google ScholarDigital Library
- J. Rybak, K. Balog, and K. Nørvåg. Temporal expertise profiling. In Proceedings of ECIR'14, 2014.Google ScholarCross Ref
- E. Smirnova and K. Balog. A user-oriented model for expert finding. In Proceedings of ECIR'11, 2011. Google ScholarDigital Library
- Y. Sun, T. Wu, Z. Yin, H. Cheng, J. Han, X. Yin, and P. Zhao. BibNetMiner: Mining bibliographic information networks. In Proceedings of SIGMOD'08, 2008. Google ScholarDigital Library
- J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. ArnetMiner: Extraction and mining of academic social networks. In Proceedings of SIGKDD'08, 2008. Google ScholarDigital Library
Index Terms
- ExperTime: tracking expertise over time
Recommendations
Modeling the dynamics of personal expertise
SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrievalPersonal expertise or interests often evolve over time. Despite much work on expertise retrieval in the recent years, very little work has studied the dynamics of personal expertise. In this paper, we propose a probabilistic model to characterize how ...
Temporal expert profiling: With an application to T-shaped expert finding
Highlights- An expert has to constantly update his knowledge to still be identified as expert.
AbstractCost optimization continues to be a critical concern for many human resources departments. The key is to balance between costs and business value. In particular, computer science organizations prefer to hire people who are expert in ...
Constructing expert profiles over time for skills management and expert finding
i-KNOW '11: Proceedings of the 11th International Conference on Knowledge Management and Knowledge TechnologiesExpert profiling and identification are important to both knowledge workers and organizations. To this end, skills management and expert recommender systems facilitate the management of skills and competencies and help find appropriate experts to meet a ...
Comments