alexa Abstract | Multi Attribute User Profile Inference Model for Improved Customer Relation Management
E-ISSN: 2223-5833

Arabian Journal of Business and Management Review
Open Access

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Research Article Open Access


The market analysis has become more important where the organizations has the responsibility to maintain the relation with their customers. The marketing organizations have different customers from various part of the country. The customers have different type of interest and to maintain the bond with them, the organizations must find statistical solutions. There are number of approaches available for the detection of user interest but suffers to achieve the performance. To overcome the problem, a multi attribute user profile inference model has been proposed. The method identifies the user set who has purchased in earlier times and identifies the related items purchased by others. For each user from the user group, the method identifies their profile like finance, education, frequency of product purchase, and job profile. Using all this information the method identifies a subset of users to produce recommendations. Finally the method identifies the list of similar interested user groups and propagate the recommendations. The method improves the performance of customer relation management and improves the market growth.

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Author(s): Karthikeyan KK1, Ramani Gopal CS and Palaniappan G


Market analysis, Customer relation management, User profile inference model, General finance, HRM, Microfinance, Multinational finance, Business Research, Corporate governance system, Financial Management services, Managerial accounting, Health Management, Logistics management , Entrepreneurship , CRM, BCM, Risk management

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