Call For Paper Volume:4 Issue:10 Oct'2017 |

Expert Finding using discriminative infinite Hidden Markov Model

Publication Date : 01/12/2015



Author(s) :

Mr. Yogesh M.Here , Hemant A.Tirmare.


Volume/Issue :
Volume 2
,
Issue 11
(12 - 2015)



Abstract :

Process of finding the right expert for a given problem in an organization is becoming feasible. Using web surfing data it is feasible to find adviser who is most likely possessing the desired piece of fine grained knowledge related with given query. Web surfing data is clustered into tasks by using Gaussian Dirichlet process mixture model. In order to mine micro aspects in each task a novel discriminative infinite Hidden Markov Model is developed. The fine grained knowledge for each task can have hierarchical structure. In order to implement hierarchy apply the discriminative infinite Hidden Markov Model on micro aspects iteratively.


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Expert Finding using discriminative infinite Hidden Markov Model

November 30, 2015