Moodle is a learning management system on line. It is of a great benefit and international recognition. This system is used at the University of Informatic Sciences for the teachinglearning process. This university offers services of personalization of Moodle, performing its work in different national and international facilities. Searching on the topic, it was found that there is no standard g...

Personalization is a key factor for differentiating services and retaining customers in World Wide Web sites. On the other hand, designing and implementing an efficient personalization strategy is still a challenge, because of the complexity of the techniques used and the variety of sites and customers, which are always evolving. This paper presents a functional model of personalization strateg...

Over the last years adaptive Web personalization has become a widespread service and all the major players of the WWW are providing it in various forms. Ephemeral personalization, in particular, deals with short time interests which are often tacitly entailed from user browsing behaviour or contextual information. Such personalization can be found almost anywhere in the Web in several forms, ra...

Personalization is a feature that occurs separately within each system that supports some kind of users’ interactions with the system. Generally speaking term “Personalization” means the process of deciding what the highest value of an individual is if (s)he has a set of possible choices. These choices can range from a customized home page “look and feel” to product recommendations or from bann...

In this paper we present some patterns we mined in Web applications that present some kind of personalized structure or behavior. We first introduce the growing need to include personalization features in Web applications and present a taxonomy for reasoning about design structures for personalization. Finally, we present 4 personalization patterns: Link Personalization, Content Personalization...

Conceptual Modelling approaches for the web need extensions to specify dynamic personalization properties in order to design more powerful web applications. Current approaches provide techniques to support dynamic personalization, usually focused on implementation details. This article presents an extension of the OO-H conceptual modelling approach to address the particulars associated with the...

This paper discusses the issue of feedback personalization and adaptation in elearning systems, and distinguishes between adaptation to the individual user and to groups of users. We briefly review the scope of feedback use in e-learning systems and outline the necessity of feedback adaptation in an e-learning system. We are trying to answer the following question: what is the difference betwee...

In this chapter we provide a comprehensive overview of the topic of Intelligent Techniques for Web Personalization. Web Personalization is viewed as an application of data mining and machine learning techniques to build models of user behaviour that can be applied to the task of predicting user needs and adapting future interactions with the ultimate goal of improved user satisfaction. This cha...

Personalization is the process of adapting the output of a system to a user’s context and profile. User information such as geographical location, academic and professional background, membership in groups, interests, preferences, opinions, etc. may be used in the process. Big data analysis techniques enable collecting accurate and rich information for user profiles in particular due to their a...

We propose Bloom cookies that encode a user’s profile in a compact and privacy-preserving way, without preventing online services from using it for personalization purposes. The Bloom cookies design is inspired by our analysis of a large set of web search logs that shows drawbacks of two profile obfuscation techniques, namely profile generalization and noise injection, today used by many privac...