The Semantics of Movie Metadata: Enhancing User Profiling for Hybrid Recommendation

In movie/TV collaborative recommendation approaches, ratings users gave to already visited content are often used as the only input to build profiles. However, users might have rated equally the same movie but due to different reasons: either because of its genre, the crew or the director. In such cases, this rating is insufficient to represent in detail users’ preferences and it is wrong to conclude that they share similar tastes. The work presented in this paper tries to solve this ambiguity by exploiting hidden semantics in metadata elements. The influence of each of the standard description elements (actors, directors and genre) in representing user’s preferences is analyzed. Simulations were conducted using Movielens and Netflix datasets and different evaluation metrics were considered. The results demonstrate that the implemented approach yields significant advantages both in terms of improving performance, as well as in dealing with common limitations of standard collaborative algorithm.info:eu-repo/semantics/publishedVersio

Personalized Tourist Route Generation

When tourists are at a destination, they typically search for information in the Local Tourist Organizations. There, the staff determines the profile of the tourists and their restrictions. Combining this information with their up-to-date knowledge about the local attractions and public transportation, they suggest a personalized route for the tourist agenda. Finally, they fine tune up this route to better fit tourists' needs. We present an intelligent routing system to fulfil the same task. We divide this process in three steps: recommendation, route generation and route customization. We focus on the last two steps and analyze them. We model the tourist planning problem, integrating public transportation, as the Time Dependent Team Orienteering Problem with Time Windows (TDTOPTW) and we present an heuristic able to solve it on real-time. Finally, we show the prototype which generates and customizes routes in real-time

A Journey of Valorisation from the Sacred to the Secular. The Oratory of Sant\u2019Antonio Abate in the Village of Mele (Genoa-Italy)

The Oratory was the expression of a community that, even with its strong sense of identity and wealth (deriving from the profitable local paper mills and ironworks), felt the need for a symbol, which could represent them; a morally enlightening space, spiritually transcendent, and socially prestigious. The development and the creation of the project allowed professionals in the fields of Restoration, Drawing, and Informatics to work together but mainly it created the opportunity to become acquainted with an ancient collective devotional culture, which has an undeniably fundamental value from an historical and anthropological point of view. The goal was to develop a mobile application which does not incorporate the use of 3D models, but was easily accessible by the visitor. Inside the app, information sheets and images of detail offer a more thorough understanding of Oratory, also thanks to using special sensors (Beacon) and graphic symbols (QRcode)

Mobile Education: Towards Affective Bi-modal Interaction for Adaptivity

One important field where mobile technology can make significant contributions is education. However one criticism in mobile education is that students receive impersonal teaching. Affective computing may give a solution to this problem. In this paper we describe an affective bi-modal educational system for mobile devices. In our research we describe a novel approach of combining information from two modalities namely the keyboard and the microphone through a multi-criteria decision making theory

A MULTICRITERIA APPROACH TO DYNAMIC REASONING IN AN INTELLIGENT USER INTERFACE

This paper presents the way that the global efficiencies approach has been applied to improve the dynamic reasoning of an intelligent Graphical User Interface (GUI) that is based on the Data Envelopment Analysis (DEA). The GUI provides intelligent help to users during their interaction with an e-mailing system, which is called I-Mailer. For this purpose, I-Mailer constantly reasons about every user action in terms of the user's goals and plans. In case the user is involved in a problematic situation, it transforms the user's problematic action and generates alternative actions to be suggested to the user. The actions suggested should be better than the problematic one in the context of the user's intentions as these are hypothesized by the system. Therefore, DEA is used in order to categorize the candidate alternative actions to be suggested to the user into dominating and dominated ones. However, this process usually results in the production of many alternative actions that could be suggested to the user instead of the one issued. To solve this problem, we have applied the global efficiencies approach to discriminate further among the DEA-efficient alternative actions and select the best alternative action to be suggested to a user. Finally, the system has been evaluated as to the effectiveness of this approach.Intelligent user interface, user modeling, data envelopment analysis

Web-based, Dynamic and Intelligent Simulation Systems

In this paper we present a method and an architecture for constructing intelligent simulation systems over the World Wide Web by integrating different technologies such as Logic Programming, Object-Oriented Programming and Virtual Reality. The proposed approach is better explained by the presentation of a multiagent VRML game where agents appear to behave in a dynamic and intelligent way

Specifying the personalization reasoning mechanism for an intelligent medical e-learning system on atheromatosis: An empirical study

Computer-based education has already been acknowledged as an important asset for medical education. For example, web-based educational systems for medicine and health provide an additional important advantage to remote learners through platform- and time-independence. However, such systems are difficult to create as they require a lot of effort from both medical tutors and software engineers. Therefore, repetition of effort has to be avoided and such systems should be able to be used to their full extent from whoever requires medical and health knowledge on the specific topics. This means that they need to incorporate intelligent techniques in order to be able to adapt dynamically to the needs of individual users rather than have many static educational systems designed solely for different kinds of users. In view of this, in this paper we address the problem of developing an adaptive e-learning system for the medical domain of Atheromatosis. Atheromatosis of the aortic arch has been recognized as an important source of embolism, which is a frequent cause of stroke. This is the main reason that the particular topic is of interest to a wide range of users with different background knowledge and needs (e.g. medical students, nurses, common people interested in maintaining a good health, etc.). The inference mechanism of the system uses a combination of rule-based reasoning and a decision making theory. In order to design the reasoning mechanism of the system, and thus incorporate the decision making theory successfully, we conducted an empirical study. The empirical study involved distribution of questionnaires to several classes of potential users of an e-learning system about Atheromatosis and analysis of the results by computer and medical experts. The results of the empirical study were used for designing the reasoning mechanism of the system. © 2007 - IOS Press and the authors