Wireless hotspots are permeating our workplace, home and public places bringing interesting services and spontaneous connectivity to mobile users. Since mobile users will be immersed in thousands of different kinds of pervasive services, it’s of paramount importance to provide appropriate services to the right person in the right form. Existing approaches offer a rather simplistic solution to t...

Similarity measures do not typically capture subjective elements of perception similarity. Our research contributes an experimental methodology for validating and learning similarity computation algorithms against human perceptions in domains like Art emotions. In this paper, we explain the first experiment to check our hypotheses methodology. We have obtained promising results that differences...

We present a novel graphical user interface (GUI) that facilitates high-efficacy collection of perceptual similarity opinions of a user in an effective and intuitive manner. The GUI is based on a hybrid mechanism that combines ranking and rating. Namely, it presents a base image for rating its similarity to seven peripheral images that are simultaneously displayed in a circular layout. The user...

Introduction. In this paper, we present RinsMatch (RDF Instance Match), a suggestion-based instance matching tool for RDF graphs. RinsMatch utilizes a graph node similarity algorithm and returns to the user the subject node pairs that have similarities higher than a defined threshold. If the user approves the matching of a node pair, the nodes are merged. Then more instance matching candidate p...

This paper presents a recommendation module which provides preferable photo contents to the user from among the huge amount of photo contents in UMPC database. To extract the preferable photo to user, we use a hybrid approach that is combined with context and content-base approach using data mining concept. Using two vectors concerned with the user profile and the photo metadata, we can calcula...

Microblog users share their life status and opinions via microposts, which usually reflect their interests. Measuring interest similarity between microblog users has thus received increasing attention from both academia and industry. In this paper, we design a novel framework for measuring and visualizing user interest similarity. The framework consists of four components: (1) Interest represen...

Recommender systems play an important role in supporting people getting items they like. One type of recommender systems is userbased collaborative filtering. The fundamental assumption of user-based collaborative filtering is that people who share similar preferences for common items behave similar in the future. The similarity of user preferences is computed globally on common rated items suc...