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Hidden Markov Model Based Prediction of seller agent's selling Intention on E-Market
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  • Bireshwar Mazumdar,
  • Deepak Yadav,
  • Ashutosh Srivastava,
  • Sachin Kumar Gupta,
  • Kuldeep Yadav
Bireshwar Mazumdar
Institute of Engineering and Rural Technology
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Deepak Yadav
Uttarakhand Technical University
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Ashutosh Srivastava
IIT BHU

Corresponding Author:[email protected]

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Sachin Kumar Gupta
Shri Mata Vaishno Devi University
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Kuldeep Yadav
Uttarakhand Technical University
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Abstract

It is possible to differentiate the behaviour between intentional and unintentional of sellers through surfing the e-market. Thus, based on above views sellers can be divided into two groups i.e. with the intention of selling and the other without the intention of selling.In this work we proposed model for probabilistic model used upon HMM has the ability to predict the intention of seller behaviour in E-market. E-market broker site can adopt this method for implement customize selling environment on the basis of cognitive and social features of sellers. If buyer detects that seller has intention of selling in advance through the E-commerce web site which can offer him some considerate attributes such as Brand name, offers, price and relative sales information with a preferential price to retain the buyer and hence buyer has an electronic market which contain various types of seller with buyer preferenciable attributes in various dimensional values. Actually the intention of seller agent is hidden state and it is based upon the commitment given by seller. Through this hidden state buyer agent can observe the trust of seller agent. Through this work buyer agent have two different category of seller agents sets, one whose intention is favourable and second whose intention is unfavourable for selling the items in e-market. Using learning algorithm buyer agent can get optimize result.