The article presents a survey of personalization and customization technologies. It starts with an analysis of user profiling and explains how user profiles can be used for generating personalized products and services. The article explains some standard personalization techniques such as rule-based filtering, collaborative filtering, and content-based filtering. Web usage mining is also explai...

In order to track money laundering and terrorist funding, banks have to create risk profiles of their clients. Banks that want to do business in the United States have to implement a worldwide Know Your Customer (KYC) program, partially based on the Patriot Act. Implementing a KYC policy, however, raises several problems and seems to be neither effective nor efficient in tracking money launderi...

Facial expression recognition (anger, sad, happy, disgust, surprise, fear expressions) is application of pattern recognition and classification task. Through facial expression human beings can show their emotions. Its applications are in human-computer interaction (HCI), robotics, border security systems, forensics, video conferencing, user profiling for customer satisfaction, physiological res...

The telecommunications industry is highly competitive, which means that the mobile providers need a business intelligence model that can be used to achieve an optimal level of churners, as well as a minimal level of cost in marketing activities. Machine learning applications can be used to provide guidance on marketing strategies. Furthermore, data mining techniques can be used in the process o...

Collecting and mining customer consumption data are crucial to assess value predict behaviors. This paper proposes a new procedure, based on an improved Random Forest Model by: adding indicator, joining the RFMS-based method K-means algorithm with Entropy Weight Method applied in computing index, classifying customers different categories, then constructing forecasting model whose RMSE is small...

Customer segmentation is one of the most important purposes of the customer base analysis for telecommunication companies. Since companies accumulate very large amount of data on costumer behavior, segmentation is typically achieved by profiling and clustering traffic behavior jointly with demographic data and contracts characteristics. Unfortunately most algorithms and models applied for segme...

In recent years, marine cultural tourism, an emerging tourism mode, has become more and more popular among tourists, and demonstrates broad market prospects. However, Chinese marine cultural tourism is still in the development and growth stage, and the level of customer satisfaction is uneven. The improvement of the customer satisfaction level is conducive to meeting customers’ demands in marin...

Customer integration has many recognised advantages, but also entails negative side effects that may impair the success of innovative activities. These negative side effects have not yet been sufficiently investigated. Whereas some may occur within the entire early innovation phase, others are likely to affect only few sub-phases. Each sub-phase, defined in a slightly new way as compared with e...

P ersonalization—the ability to provide content and services tailored to individuals on the basis of knowledge about their preferences and behavior 1 —has become an important marketing tool (see the " Personalization " sidebar). Personalization applications range from per-sonalized Web content presentations to book, CD, and stock purchase recommendations. Among issues the personalization commun...