We describe online collaborative communities by tripartite networks, the nodes being persons, items and tags. We introduce projection methods, highlight structures using percolation techniques and discuss the notion of diversity in the system.

E-Learning environments nowadays should adapt to their users and computer platforms they are using. In this paper the learning scenario collaborative recommendation based on consensus method using XML is presented. We present the XML description of the learning scenario and its components as well as the link database and XSL transformations for presenting them on given platforms in the way suit...

A collaborative filtering system recommends to users products that similar users like. Collaborative filtering systems influence purchase decisions, and hence have become targets of manipulation by unscrupulous vendors. We demonstrate that while nearest neighbor algorithms, which are widely used in commercial systems, are highly susceptible to manipulation, two classes of collaborative filterin...

In this paper, we overview the current status of research in the field of collaborative sensing for urban transportation. We first classify the different types of sensors that can be relevant in collaborative urban sensing and then we analyze three different topics: parking spaces, traffic, and trajectories. We discuss issues regarding the sensing and data sharing approaches as well as relevant...

In science, the term model refers to a schematic, simplified and idealized representation of an object or a domain, in which the relations and functions of the elements are made explicit. Modeling is understood as the activity of creating, manipulating and using models. This article presents a discussion of how collaborative modeling activities, an essential part of collaborative inquiry learni...

Multi-player role-playing games form one of the key examples of interactive, emergent and collaborative storytelling systems available. These games and the collaborative stories that they create, are commonly facilitated by a specialized participant, the game master. In the current study, the verbal communication of game masters in a series of role-playing game sessions is categorized and analy...

Collaborative learning enables individual learners to combine their own expertise, experience and ability to accomplish a mutual learning goal. The grouping of learners, and learning from social interactions with peer-learners, are two basic characteristics of collaborative learning. For individual learners to benefit from collaborative learning, individual learners with different characteristi...

This report has been submitted forr publication outside of ITC and will probably be copyrighted if accepted for publication. It has been issued as a Technical Report forr early dissemination of its contents. In view of the transfert of copy right too the outside publisher, its distribution outside of ITC priorr to publication should be limited to peer communications and specificc requests. Afte...

In this paper we present a recommender system using an effective threshold-based neighbor selection in collaborative filtering. The proposed method uses the substitute neighbors of the test customer who may have an unusual preferences or who are the first rater. The experimental results show that the recommender systems using the proposed method find the proper neighbors and give a good predict...

With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user efficiency has emerged. Within the fields of user profiling and Web personalization several popular content filtering techniques have been developed. In this chapter we present one of such techniques – collaborative filtering. Apart ...