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2020 – today
- 2023
[j4]Luca Benedetto
, Paolo Cremonesi, Andrew Caines, Paula Buttery, Andrea Cappelli, Andrea Giussani, Roberto Turrin:
A Survey on Recent Approaches to Question Difficulty Estimation from Text. ACM Comput. Surv. 55(9): 178:1-178:37 (2023)- 2021
- [c28]Luca Benedetto, Giovanni Aradelli, Paolo Cremonesi, Andrea Cappelli, Andrea Giussani, Roberto Turrin:
On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text. BEA@EACL 2021: 147-157 - 2020
- [c27]Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi:
Introducing a Framework to Assess Newly Created Questions with Natural Language Processing. AIED (1) 2020: 43-54 - [c26]Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi:
R2DE: a NLP approach to estimating IRT parameters of newly generated questions. LAK 2020: 412-421 - [i2]Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi:
R2DE: a NLP approach to estimating IRT parameters of newly generated questions. CoRR abs/2001.07569 (2020) - [i1]Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi:
Introducing a framework to assess newly created questions with Natural Language Processing. CoRR abs/2004.13530 (2020)
2010 – 2019
- 2017
- [c25]Roberto Turrin:
Personalization challenges in e-Learning. RecSys 2017: 345 - 2015
- [j3]Frank Hopfgartner, Torben Brodt, Jonas Seiler, Benjamin Kille, Andreas Lommatzsch, Martha A. Larson, Roberto Turrin, András Serény:
Benchmarking News Recommendations: The CLEF NewsREEL Use Case. SIGIR Forum 49(2): 129-136 (2015) - [c24]Benjamin Kille, Andreas Lommatzsch, Roberto Turrin, András Serény, Martha A. Larson, Torben Brodt, Jonas Seiler, Frank Hopfgartner:
Stream-Based Recommendations: Online and Offline Evaluation as a Service. CLEF 2015: 497-517 - [c23]Benjamin Kille, Andreas Lommatzsch, Roberto Turrin, András Serény, Martha A. Larson, Torben Brodt, Jonas Seiler, Frank Hopfgartner:
Overview of CLEF NewsREEL 2015: News Recommendation Evaluation Lab. CLEF (Working Notes) 2015 - [c22]Pancrazio Auteri, Roberto Turrin:
Personalized Catch-up & DVR: VOD or Linear, That is the Question. RecSys 2015: 227 - [c21]Martha A. Larson, Domonkos Tikk, Roberto Turrin:
Overview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender Systems. RecSys 2015: 341-342 - [c20]Jan Neumann, Danny Bickson, Hassan Sayyadi, Roberto Turrin, John Hannon:
2nd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2015). RecSys 2015: 353-354 - [c19]Frank Hopfgartner, Benjamin Kille, Tobias Heintz, Roberto Turrin:
Real-time Recommendation of Streamed Data. RecSys 2015: 361-362 - [c18]Roberto Turrin, Massimo Quadrana, Andrea Condorelli, Roberto Pagano, Paolo Cremonesi:
30Music Listening and Playlists Dataset. RecSys Posters 2015 - 2014
- [c17]Alan Said, Babak Loni, Roberto Turrin, Andreas Lommatzsch:
An Extended Data Model Format for Composite Recommendation. RecSys Posters 2014 - [c16]Alan Said, Martha A. Larson, Domonkos Tikk, Paolo Cremonesi, Alexandros Karatzoglou, Frank Hopfgartner, Roberto Turrin, Joost Geurts:
User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd. UMAP Workshops 2014 - 2013
- [c15]Paolo Cremonesi, Roberto Pagano, Stefano Pasquali, Roberto Turrin:
TV program detection in tweets. EuroITV 2013: 45-54 - [c14]Paolo Cremonesi, Franca Garzotto, Roberto Turrin:
User-Centric vs. System-Centric Evaluation of Recommender Systems. INTERACT (3) 2013: 334-351 - 2012
- [j2]Paolo Cremonesi, Franca Garzotto, Roberto Turrin:
Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective: An Empirical Study. ACM Trans. Interact. Intell. Syst. 2(2): 11:1-11:41 (2012) - [c13]Paolo Cremonesi, Antonio Donatacci, Franca Garzotto, Roberto Turrin:
Decision-Making in Recommender Systems: The Role of User's Goals and Bounded Resources. Decisions@RecSys 2012: 1-7 - [c12]Paolo Cremonesi, Franca Garzotto, Roberto Turrin:
User effort vs. accuracy in rating-based elicitation. RecSys 2012: 27-34 - 2011
- [c11]Paolo Cremonesi, Franca Garzotto, Sara Negro, Alessandro Vittorio Papadopoulos, Roberto Turrin:
Comparative evaluation of recommender system quality. CHI Extended Abstracts 2011: 1927-1932 - [c10]Paolo Cremonesi, Antonio Tripodi, Roberto Turrin:
Cross-Domain Recommender Systems. ICDM Workshops 2011: 496-503 - [c9]Paolo Cremonesi, Franca Garzotto, Sara Negro, Alessandro Vittorio Papadopoulos, Roberto Turrin:
Looking for "Good" Recommendations: A Comparative Evaluation of Recommender Systems. INTERACT (3) 2011: 152-168 - [c8]Paolo Cremonesi, Roberto Turrin, Fabio Airoldi:
Hybrid algorithms for recommending new items. HetRec@RecSys 2011: 33-40 - [p1]Riccardo Bambini, Paolo Cremonesi, Roberto Turrin:
A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment. Recommender Systems Handbook 2011: 299-331 - 2010
- [c7]Paolo Cremonesi, Roberto Turrin:
Time-evolution of IPTV recommender systems. EuroITV 2010: 105-114 - [c6]Paolo Cremonesi, Roberto Turrin:
Controlling Consistency in Top-N Recommender Systems. ICDM Workshops 2010: 919-926 - [c5]Paolo Cremonesi, Yehuda Koren, Roberto Turrin:
Performance of recommender algorithms on top-n recommendation tasks. RecSys 2010: 39-46
2000 – 2009
- 2009
- [j1]Paolo Cremonesi, Roberto Turrin, Vassil N. Alexandrov:
Modeling the Effects of Node Heterogeneity on the Performance of Grid Applications. J. Networks 4(9): 837-854 (2009) - [c4]Elica Campochiaro, Riccardo Casatta, Paolo Cremonesi, Roberto Turrin:
Do Metrics Make Recommender Algorithms?. AINA Workshops 2009: 648-653 - [c3]Paolo Cremonesi, Roberto Turrin:
Analysis of cold-start recommendations in IPTV systems. RecSys 2009: 233-236 - 2008
- [c2]Giuliano Casale, Paolo Cremonesi, Roberto Turrin:
Robust Workload Estimation in Queueing Network Performance Models. PDP 2008: 183-187 - 2006
- [c1]Paolo Cremonesi, Roberto Turrin:
Performance models for hierarchical grid architectures. GRID 2006: 278-285
Coauthor Index
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