We propose a personalized digital E-library system using a collaborative filtering technique, which provides a personalized search list according to users’ preference. The proposed system analyzes the registered users’ actions such as “clicking” and “borrowing” items. According to the different actions, we provide a weight for calculating the users’ preference of each item. However, the list is...

As the number of systems which offer annotations on digital documents increases, robust anchoring of annotations is a key challenge. It is especially important if the annotator lacks write-access to the document being annotated. For example, if someone makes an annotation on a web page today and the web page changes tomorrow, what happens to the annotation? One approach is simply to “orphan” th...

Luxury is an identity, a philosophy and a culture which requires understanding before the adoption of e-business practices because of its intricacies and output are essentially different from other types of goods. Factors such as culture, personal characteristics, website quality, and vendor characteristics influence the online purchasing behavior of consumers thus making it a complex area of s...

Web 2.0 is based on personalized access to imprecise and incomplete information from heterogeneous sources. In this paper we present a web-based system enabling preference-based search. We use modified Fagin’s model of fuzzy preferences based on aggregation of attribute preferences. Aggregation is generated by user ranking of objects. Our contributions are twofold. First we present a formal mod...