Vol-2140
urn:nbn:de:0074-2140-0

Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

IIR 2018
9th Italian Information Retrieval Workshop 2018

Proceedings of the 9th Italian Information Retrieval Workshop

Rome, Italy, May, 28-30, 2018.

Edited by

Nicola Tonellotto *
Luca Becchetti
Marko Tkalčič *

* Consiglio Nazionale delle Ricerche, Via G. Moruzzi 1, 56124 Pisa, Italy
** Università di Roma "La Sapienza" , Via Ariosto 25, 00185, Rome, Italy
*** Free University of Bozen-Bolzano, Piazza Universita 1, 39100 Bolzano, Italy

Table of Contents

Preface

Track 1: Information Retrieval

Sensitive-aware Privacy Index for Sanitized Text Data
Claudio Carpineto, Giovanni Romano
How Topic and System Size Affect the Correlation among Evaluation Measures
Nicola Ferro
Emotional Reactions Prediction of News Posts
Anastasia Giachanou, Paolo Rosso, Ida Mele, Fabio Crestani
An Emotion-driven Approach for Aspect-based Opinion Mining
Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro
The CLAIRE Visual Analytics System for Analysing IR Evaluation Data
Marco Angelini, Vanessa Fazzini, Nicola Ferro, Giuseppe Santucci, Gianmaria Silvello
A Study on Manual Query Reformulation for Systematic Medical Reviews
Giorgio Maria Di Nunzio, Federica Vezzani
The Malware Text Collection and Mining Project
Giambattista Amati, Simone Angelini, Anna Caterina Carli, Carlo Majorani, Alessandro Riccardi
An Approach to Event-based Dynamic User Profiling in Social Media
Gabriella Pasi, Marco Viviani, Matteo Zardoni

Track 2: Recommender Systems

It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos
Mehdi Elahi, Rosella Gennari, Alessandra Melonio, Francesco Ricci
Exploiting Knowledge Graphs for Auto-Encoding User Ratings in Recommender Systems
Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio, Angelo Schiavone
Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model
David Massimo, Francesco Ricci
Integrating Ratings and Pairwise Preferences in Recommender Systems
Saikishore Kalloori, Francesco Ricci
Theory-driven Recommendations: Modeling Hedonic and Eudaimonic Movie Preferences
Marko Tkalčič, Bruce Ferwerda
Mining Software Repositories to Support OSS Developers: A Recommender Systems Approach
Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio
A Collaborative Ranking Model with Contextual Similarities for Venue Suggestion
Mohammad Aliannejadi, Fabio Crestani
Content-Based Multimedia Recommendation Systems: Definition and Application Domains
Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
Moving from Item Rating to Features Relevance in Top-N Recommendation
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Pasquale Lops, Joseph Trotta

2018-07-20: submitted by Marko Tkalčič, metadata incl. bibliographic data published under Creative Commons CC0
2018-07-22: published on CEUR-WS.org |valid HTML5|