Abstract A recommender system imposes differences between users, by presenting to them different recommendation lists, which they respond to, resulting in “reaction” lists. Comparison of the and reaction lists can indicate user states. Users approve imposed difference, end up narrowing difference (pulling each other closer) consuming more items common or enlarge (pushing further apart) not comm...

In this paper, we try to suggest a candidate personalization service architecture for future mobile services. We tried to design the framework and to find the required software modules for a mobile personalization service, which is related with context-aware processing and user-preference information. And, we are implementing and testing the prototype system, and finding better soultion to depl...

Personalization technologies have been popular in assisting users with the information overload problem. As the number of services and the volume of content continues to grow personalization technologies are more than ever in demand. Mobasher (Mobasher et al., 2004) classifies web personalization into 3 groups. These are, manual decision rule systems, content-based recommender systems and colla...

This paper proposes an architecture for providing personalization services for adaptive educational hypermedia. We formalize adaptation functionality in a re-usable way appropriate for the use in the semantic web. We show how to design personalization services that provide re-usable adaptation methods employing semantic web description formats. keywords: adaptive hypermedia, personalization, ad...

In this paper we discuss how to use reflective techniques for personalizing object-oriented applications. This approach is based on a clear separation of concerns, namely: base application functionality, user profile management, and personalization rules; our approach simplifies the evolution of Web Applications when adding personalization features (such as recommendations, special offers, indi...

We use a game-theoretic model to examine how information personalization by firms interacts with different dimensions of product differentiation (namely, horizontal and vertical differentiation). We consider the possibility that consumers attach different importance to various types of product differentiation, and report the equilibrium in terms of the “quality–fit” ratio, which measures the re...

O personalization services belong to a class of economic goods with a “no free disposal” (NFD) property where consumers do not always prefer more services to less because of the privacy concerns. These concerns arise from the revelation of information necessary for the provision of personalization services. We examine vendor strategies in a market where consumers have heterogeneous concerns abo...

Much has been written and discussed regarding the rise of personalization in online services. The Internet is now unique to every user, from advertising to search to pricing. Personalization has multiple benefits to users, as it can save time by extrapolating unstated details like location to enrich the online experience. However, personalization may not benefit all users equally. Some users ma...

The Personalization of information has taken recommender systems at a very high level. With personalization these systems can generate user specific recommendations accurately and efficiently. User profiling helps personalization, where information retrieval is done to personalize a scenario which maintains a separate user profile for individual user. The main objective of this paper is to expl...

Personalizing the user’s media experience based on his changing context, which we call context-aware media personalization, is an important challenge. Unlike traditional personalization systems that merely based on user preference, context-aware personalization system takes context information ranging from user preference and situation to device/network capability as input for both content and ...