Personalization and Customization Technologies

Abstract

This chapter surveys personalization and customization technologies. It starts with an analysis of user profiling and explains how user profiles can be used to generate personalized products and services. It explains some standard personalization techniques such as rule‐based filtering, collaborative filtering, and content‐based filtering. Web usage mining is also explained and it is shown how data mining can be used to learn customer behavior and to provide personalized content. Several applications such as adaptive Web sites, recommender systems, adaptive Web stores, and intelligent agents are discussed. The chapter concludes by summarizing current trends.

A hybrid matchmaking approach in the ambient assisted living domain

“…In the context of social care, this means starting with the person as an individual with strengths, preferences and aspirations and putting them at the centre of the process of identifying their needs [10]. Personalisation usually involves the following two steps [11]: (1) assembling and analysing information about users, and (2) delivering the right content.…”

Application of neural networks and Kano’s method to content recommendation in web personalization

“…The steps of website personalization process starts with user data collection which can be achieved using different approaches. The user profiles, interests, desires, and needs are captured and processed through direct and indirect engagements (Braynov, 2003). Some applications directly involve user data through surveys, questionnaires, submitting personal information during registration, and so on.…”