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ORCID9th IIR 2018: Rome, Italy
- Nicola Tonellotto, Luca Becchetti, Marko Tkalcic:
Proceedings of the 9th Italian Information Retrieval Workshop, Rome, Italy, May, 28-30, 2018. CEUR Workshop Proceedings 2140, CEUR-WS.org 2018
Track 1: Information Retrieval
- Giovanni Romano, Claudio Carpineto:
Sensitive-aware Privacy Index for Sanitized Text Data. - Nicola Ferro:
How Topic and System Size Affect the Correlation among Evaluation Measures. - Anastasia Giachanou, Paolo Rosso, Ida Mele, Fabio Crestani:
Emotional Reactions Prediction of News Posts. - Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro:
An Emotion-driven Approach for Aspect-based Opinion Mining. - Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel:
A Preliminary Comparison of Job, Talent, and Web Search. - Marco Angelini, Vanessa Fazzini, Nicola Ferro, Giuseppe Santucci, Gianmaria Silvello:
The CLAIRE Visual Analytics System for Analysing IR Evaluation Data. - Giorgio Maria Di Nunzio, Federica Vezzani:
A Study on Manual Query Reformulation for Systematic Medical Reviews. - Giambattista Amati, Simone Angelini, Anna Caterina Carli, Carlo Majorani, Alessandro Riccardi:
The Malware Text Collection and Mining Project. - Gabriella Pasi, Marco Viviani, Matteo Zardoni:
An Approach to Event-based Dynamic User Profiling in Social Media.
Track 2: Recommender Systems
- Mehdi Elahi, Rosella Gennari, Alessandra Melonio, Francesco Ricci:
It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos. - Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio, Angelo Schiavone:
Exploiting Knowledge Graphs for Auto-Encoding User Ratings in Recommender Systems. - David Massimo, Francesco Ricci:
Sequential Recommendations in IoT Scenarios with a Generalized User Behaviour Model. - Saikishore Kalloori, Francesco Ricci:
Integrating Ratings and Pairwise Preferences in Recommender Systems. - Marko Tkalcic
, Bruce Ferwerda:
Theory-driven Recommendations: Modeling Hedonic and Eudaimonic Movie Preferences. - Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio:
Mining Software Repositories to Support OSS Developers: A Recommender Systems Approach. - Mohammad Aliannejadi, Fabio Crestani:
A Collaborative Ranking Model with Contextual Similarities for Venue Suggestion. - Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi:
Content-Based Multimedia Recommendation Systems: Definition and Application Domains. - Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Pasquale Lops, Joseph Trotta:
Moving from Item Rating to Features Relevance in Top-N Recommendation.
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