4.4 Article

A survey on expert finding techniques

Journal

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Volume 49, Issue 2, Pages 255-279

Publisher

SPRINGER
DOI: 10.1007/s10844-016-0440-5

Keywords

Expert finding; Data resources; Algorithms

Funding

  1. National Natural Science Foundation of China [61303081, 91646116]
  2. Scientific and Technological Support Project (Society) of Jiangsu Province [BE2016776]

Ask authors/readers for more resources

Finding experts in specified areas is an important task and has attracted much attention in the information retrieval community. Research on this topic has made significant progress in the past few decades and various techniques have been proposed. In this survey, we review the state-of-the-art methods in expert finding and summarize these methods into different categories based on their underlying algorithms and models. We also introduce the most widely used data collection for evaluating expert finding systems, and discuss future research directions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available