Meeting customer needs is a step towards achieving the success of product or service. As dynamic lifestyles have been taking place in society, demands regarding food changed, and easiness preparation healthiness become demanded by segment customers. Convenience foods are examples to fulfill these changes stand out for their practicality, but with reservations about healthiness. Considering new ...

This chapter introduces the methodology of particle swarm optimization algorithm usage as a tool for finding customer profiles based on a previously developed predictive model that predicts events like selection of some products or services with some probabilities. Particle swarm optimization algorithm is used as a tool that finds optimal values of input variables within developed predictive mo...

This paper describes simple designing methods of corpus-based visual speech synthesis. Our approach needs only a synchronous real image and speech database. Visual speech is synthesized by concatenating real image segments and speech segments selected from the database. In order to automatically perform all processes, e.g. feature extraction, segment selection and segment concatenation, we simp...

In this paper we present a new mean–variance customer portfolio optimization algorithm for a class of ergodic finite controllable Markov chains. In order to have a realistic result we propose an iterated twostep method for solving the given portfolio constraint problem: (a) the first step is designed to optimize the nonlinear problem using a quadratic programming method for finding the long run...

Class-imbalanced datasets are common in the field of mobile Internet industry. We tested three kinds of feature selection techniques-Random Forest (RF), Relative Weight (RW) and Standardized Regression Coefficients (SRC); three kinds of balance methods-over-sampling (OS), under-sampling (US) and synthetic minority over-sampling (SMOTE); a widely used classification method-RF. The combined model...

Executive Summary Customer Intelligence Management (CrIM) is a member of the intelligence management family, sharing a variety concerns and practices with business intelligence (BI) and competitive intelligence (CI). Its origins can be traced to practices of customer relationship management and marketing and advertising science. It is especially associated with Customer Relationship Management ...

The efficient representation of arbitrarily shaped image segments is an important issue in objectbased image coding. This paper describes an algorithm by which the given image segment is successively approximated using 2-D shapeindependent basis functions defined on a rectangle circumscribing the image segment. Discrete cosine and discrete wavelet basis were used in the system respectively, and...

CRM is about introducing the right product to the right customer at the right time through the right channel to satisfy the customer’s evolving demands. Ideally, it should follow the development of each individual customer and develop integrated multi-segment, multi-stage, and multi-channel CRM decisions in order to maximize the total customer lifetime profit. However, most existing CRM practic...

The authors evaluate the usefulness of customer lifetime value (CLV) as a metric for customer selection and marketing resource allocation by developing a dynamic framework that enables managers to maintain or improve customer relationships proactively through marketing contacts across various channels and to maximize CLV simultaneously. The authors show that marketing contacts across various ch...