4,052 research outputs found
Motivi letterari nei libri per l’infanzia di Paolo Di Paolo
No full textThe article, organised in the form of a discussion, aims to analyse the themes and motifs of Paolo Di Paolo’s works that are addressed to young audiences. The author has recently published a large number of volumes directed just at younger readers. When beholding the titles that constitute the author’s bibliography, the reader is struck by Di Paolo’s predisposition to transform literary classics: as much in Giacomo il signor bambino as in the edition of the Divina Commedia, the author’s goal is to try to reach his new readers. Therefore, Di Paolo proves to be a prolific author of the genre; in fact, in his bibliography, volumes of fairy tales with a classic slant, such as La mucca volante, are listed as well.L’articolo contiene un’analisi di temi e di motivi delle opere di Paolo Di Paolo dirette al pubblico più piccolo. L’autore negli ultimi anni ha pubblicato un cospicuo numero di volumi indirizzati, infatti, proprio ai lettori più giovani. Ciò che stupisce scorgendo i titoli che costituiscono la bibliografia dell’autore, è la predisposizione a trasformare i classici della letteratura: tanto in Giacomo il signor bambino quanto nell’edizione della Divina Commedia l’obiettivo è cercare di raggiungere i lettori più giovani. Di Paolo si dimostra, quindi, un autore prolifico del genere, tant’è che nell’elenco non mancano volumi fiabeschi dal taglio classico come La mucca volante. Analizzare le opere giovanili dello scrittore costituisce un fatto inedito
Trust-aware bootstrapping of recommender systems
No full textRecommender Systems (RS) suggest to users items they
might like such as movies or songs. However they are not able to generate recommendations for users who just registered, in fact bootstrapping Recommender Systems for new users is still an open challenge. While traditional RSs exploit only ratings provided by users about items, Trust-aware Recommender Systems let the user express also trust statements, i.e. their subjective opinions about the usefulness of other users. In this paper we analyze the relative benefits of asking new users either few ratings about items or few trust statements about other users for the purpose of bootstrapping a RS ability to generate recommendations. We run experiments on a large real world dataset derived from the online Web community of Epinions.com. The results clearly indicate that while traditional RS algorithms exploiting ratings on items fail for new users, asking few trust statements to a new user is instead a very effective strategy able to quickly let the RS generate many accurate items recommendations
Trust-aware Similarity Metrics
No full textSimilarity metrics play a key role in case-based reasoning: an effective retrieval step is a premise for a fruitful reuse of past solutions. In recommendation systems based on collaborative filtering the similarity assessment involves the user profiles. User profiles are very sensitive to the quality of elicited preferences while user similarity doesn t address the issue of quality assessment. We argue that the notion of trust can fruitfully improve the step of similarity assessment. Trust can be conceived as rating persons instead of goods. Some properties of trust, like propagation, allows to overcome known drawbacks of collaborative filtering. We discuss how sparseness of data very often affects the computability of user similarity and we show how trust metrics can overcome this restriction. An empirical evaluation on a real world dataset allow us to argue that trust metrics don t suffer the problem of sparseness and can provide a meaningful improvement in theassessment of user similarity. Moreover we prove that the acquisition of trust values, in contrast with rating values, enables a better trade-off between elicitation effort and similarity accurac
Trust metrics on controversial users: balancing between tyranny of the majority and echo chambers
No full textIn today’s connected world it is possible and indeed quite common to interact with unknown people, whose reliability is unknown. Trust Metrics are a technique for answering questions such as “Should I trust this person?”. However, most of the current research assumes that every user has a global quality score everyone agree on and the goal of the technique is just to predict this correct value. We show, on data from a real and large user community, Epinions.com, that such an assumption is not realistic because there is a significant portion of what we call controversial users, users who are trusted by many and distrusted by many: a global agreement about the trustworthiness value of these users does not exist.We argue, using computational experiments, that the existence of controversial users (a normal phenomenon in complex societies) demands local trust metrics, techniques able to predict the trustworthiness of a user in a personalized way, depending on the very personal views of the judging user as opposed to most commonly used global trust metrics which assume a unique value of reputation for every single user. The implications of such an analysis deal with the very foundations of what we call society and culture and we conclude discussing this point by comparing the two extremes of culture that can be induced by the two different kinds of trust metrics: tyranny of the majority and echo chambers
Relazione Finale PAT-Formazione
No full textQuesto documento riassume il lavoro svolto nell'ambito di un progetto formativo avviato dal Dipartimento di Protezione Civile in collaborazione con IRST. Il progetto ha portato alla costituzione di due borse di studio. Nel seguito sono riportati i piani formativi sviluppati per i due borsisti differenziati per i diversi obiettivi strategici: uno dedicato all'area informatica, l'altro dedicato alla pianificazione in protezione civile delle fasi di prevenzione e prevision
Evaluation framework for local ontologies interoperability
No full textThe latest trends of knowledge management is to enable the interoperability among distributed and autonomous sources of knowledge (Bonifacio, Bouquet, & Traverso 2002). The innovative claim is that a centralized encod
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