Improved Win-Win Quiescent Point Algorithm: A Recommender System Approach

The aim of this study is introducing an online intelligent method for bidding negotiations in e-marketing. The growth and popularity of internet, increases using of modern techniques to help costumers and sellers in choosing best product and achieve higher benefit. Recommender systems as useful mean have memorable role in permanency customer loyalty. In traditional trade, customer and seller negotiate face to face. But now in online trade, it has changed to negotiation through internet and recommender systems. As a result, paying attention to preferences of both customer and seller in online structure is needed. In this study, we propose a method for making a recommender system for both seller and customer such that the satisfaction level of both be more than a threshold margin. First the needs and preferences of seller and customer are determined and then through the proposed algorithm successive suggestions are made until achieving a point that both sides of the business feel satisfaction.