Human temperaments have been recognized as a predominant factor in determining the activity patterns of human behavior. In our earlier study, temperament-based filtering method has been proposed in seek of combining concept learning and content-based filtering techniques to incorporate human temperament concept into the recommendation process of an information system. In this paper, we explain ...

Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...

Recently, collaborative tagging has become more and more popular in the Web2.0 community, since tags in these Web2.0 systems reflect the specific content features of the resources. This paper presents a recommender for scientific literatures based on semantic concept similarity computed from the collaborative tags. User profiles and item profiles are presented by these semantic concepts, and ne...

Recommender or recommendation systems are nowadays widely used. Recommendation system is a system which provides recommendations to users according to their tastes. Also it is a system that can guide the user in a personalized way. Recommender systems can be classified into: content based collaborative filtering and hybrid approach. There are number of data mining algorithms used in recommendat...

One of the important issues in blog search engines is to extract the cleaned text from blog post. In practice, this extraction process is confronted with many non-relevant contents in the original blog post, such as menu, banner, site description, etc, causing the ranking be less-effective. The problem is that these non-relevant contents are not encoded in a unified way but encoded in many diff...

Web service mining has become one of the promising areas of Service Oriented Architecture. Web service discovery methods include syntactic based system and semantic based system. Recommender system plays a vital role in recommending a product to customer, seldom used for web service recommendation. A variety of techniques have been proposed for performing recommendation namely, content-based, c...

Zur Beantwortung der Frage, warum Bildersuchen auf Schlüsselwörtern basieren, statt auf den bildimmanenten Informationen, werden Repräsentationsmöglichkeiten für Bildinformationen vorgestellt, die Personen in die Lage versetzen, Anfragen in Form von Bildinformationen statt Schlüsselwörtern zu formulieren. Die Bildinformationen sollen in einer Weise interpretiert werden, die dem subjektiven Empf...

In recent years, Online Social Networks (OSNs) have become an important part of daily life. Users build explicit networks to represent their social relationships. Users can upload and share information related to their personal lives. The potential privacy risks of such behaviour are often ignored. And the fundamental issue in today On-line Social Networks is to give users the ability to contro...