Title
The Expert Ranking Method Based on Listwise with Associated Features.
Abstract
In the expert ranking process, we put forward an expert ranking method based on list with associated features, in order to use effectively expert relationship and the relative relationship of the expert list. First, construct a correlation model of query and expert by evidence documents, expert display and implicit relationships and expert metadata. Then sort experts by the ListNet algorithm based on the list. Finally perform an experiment under the expert list, and the MAP value is 0.3506. The result shows that this method can effectively improve the accuracy of expert sorting, and expert relationship and the relative relationship of the expert list play an important role in the expert ranking.
Year
DOI
Venue
2015
10.1007/978-981-10-0080-5_18
Communications in Computer and Information Science
Keywords
DocType
Volume
Expert ranking,Expert evidence document,Expert networks,Expert metadata,Expert-ListNet
Conference
568
ISSN
Citations 
PageRank 
1865-0929
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Sichao Wei100.34
Zhengtao Yu246069.08
Fangqiong Chen300.34
Cunli Mao45111.54
Jianyi Guo52010.99