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New Technology of Library and Information Service  2014, Vol. 30 Issue (7): 107-113    DOI: 10.11925/infotech.1003-3513.2014.07.15
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Research on Credibility Evaluation Mechanism of Experts Retrieval Under User's Control
Li Gang, Ye Guanghui
Center for the Studies of Information Resources, Wuhan University, Wuhan 430072, China
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[Objective] In order to reduce the noise and enhance customers' satisfaction in expert retrieval system, the authors put forward the idea of credibility evaluation mechanism under user's control.[Methods] Firstly, based on the binary independence retrieval model, this paper brings out the principles and assumptions that the design of evaluation mechanism needs to follow. Secondly, fousing on expert feature to define parameter, this paper has respectively designed the front-end credibility evaluation mechanism and the back-end credibility evaluation mechanism.[Results]Setting academic experts retrieval for example, the authors point out that the front-end mechanism corresponding to information organization attempts to reduce the noise in the expert feature recognition via finding the best length of expert eigen vector, while the back-end mechanism deeply integrates users into the retrieval by setting user relevant feedback as the necessary reference of path selection.[Limitations] The front-end mechanism can not deal with user query including more words, and the back-end mechanism has higher requirement of expert information organization.[Conclusions] Making combination with two mechanisms, this new mechanism can expand associated resources for expert feature recognition and upgrade user involvement.

Key wordsUser feedback      Expert retrieval      Eigenvector      Credibility evaluation     
Received: 10 April 2014      Published: 20 October 2014
:  G353  

Cite this article:

Li Gang, Ye Guanghui. Research on Credibility Evaluation Mechanism of Experts Retrieval Under User's Control. New Technology of Library and Information Service, 2014, 30(7): 107-113.

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