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2020 – today
- 2024
[j19]Fabrizio Errico, Antonio Messeni Petruzzelli, Umberto Panniello, Angelo Scialpi
:
Source of funding and specialized competences: the impact on the innovative performance of start-ups. J. Knowl. Manag. 28(2): 564-589 (2024)- [j18]Luigi Jesus Basile, Nunzia Carbonara, Umberto Panniello, Roberta Pellegrino:
How Can Technological Resources Improve the Quality of Healthcare Service? The Enabling Role of Big Data Analytics Capabilities. IEEE Trans. Engineering Management 71: 5771-5781 (2024) - [j17]Ilaria Mancuso, Antonio Messeni Petruzzelli, Umberto Panniello, Chiara Nespoli:
A Microfoundation Perspective on Business Model Innovation: The Cases of Roblox and Meta in Metaverse. IEEE Trans. Engineering Management 71: 12750-12763 (2024) - 2023
- [j16]Ilaria Mancuso, Antonio Messeni Petruzzelli, Umberto Panniello:
Digital business model innovation in metaverse: How to approach virtual economy opportunities. Inf. Process. Manag. 60(5): 103457 (2023) - 2021
- [c7]Luigi Jesus Basile, Nunzia Carbonara, Roberta Pellegrino, Umberto Panniello:
The improvement of the clinical decision-making through the Business Intelligence. MED 2021: 156-161
2010 – 2019
- 2019
- [j15]Lorenzo Ardito, Antonio Messeni Petruzzelli, Umberto Panniello, Achille Claudio Garavelli:
Towards Industry 4.0. Bus. Process. Manag. J. 25(2): 323-346 (2019) - [j14]Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin:
Recommendation strategies in personalization applications. Inf. Manag. 56(6) (2019) - [j13]Shawndra Hill, Adrian Benton, Umberto Panniello:
Talkographics: Measuring TV and Brand Audience Demographics and Interests from User-Generated Content. Int. J. Electron. Commer. 23(3): 364-404 (2019) - 2017
- [j12]Angela Fortunato, Michele Gorgoglione, Antonio Messeni Petruzzelli, Umberto Panniello:
Leveraging Big Data for Sustaining Open Innovation: The Case of Social TV. Inf. Syst. Manag. 34(3): 238-249 (2017) - [j11]Umberto Panniello, Lorenzo Ardito, Antonio Messeni Petruzzelli:
Does the Users' Tendency to Seek Information Affect Recommender Systems' Performance? J. Univers. Comput. Sci. 23(2): 187-207 (2017) - 2016
- [j10]Umberto Panniello, Shawndra Hill, Michele Gorgoglione:
The impact of profit incentives on the relevance of online recommendations. Electron. Commer. Res. Appl. 20: 87-104 (2016) - [j9]Umberto Panniello, Shawndra Hill, Michele Gorgoglione:
Using context for online customer re-identification. Expert Syst. Appl. 64: 500-511 (2016) - [j8]Umberto Panniello, Michele Gorgoglione, Alexander Tuzhilin:
Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems. Inf. Syst. Res. 27(1): 182-196 (2016) - [j7]Lorenzo Ardito, Antonio Messeni Petruzzelli, Umberto Panniello:
Unveiling the breakthrough potential of established technologies: an empirical investigation in the aerospace industry. Technol. Anal. Strateg. Manag. 28(8): 916-934 (2016) - 2014
- [j6]Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione:
Comparing context-aware recommender systems in terms of accuracy and diversity. User Model. User Adapt. Interact. 24(1-2): 35-65 (2014) - [j5]Umberto Panniello:
How to use recommender systems in e-business domains. Webology 11(2) (2014) - 2013
- [j4]Sabrina Lombardi, Michele Gorgoglione, Umberto Panniello:
The effect of context on misclassification costs in e-commerce applications. Expert Syst. Appl. 40(13): 5219-5227 (2013) - 2012
- [j3]Umberto Panniello, Michele Gorgoglione:
Incorporating context into recommender systems: an empirical comparison of context-based approaches. Electron. Commer. Res. 12(1): 1-30 (2012) - [j2]Maria Francesca Faraone, Michele Gorgoglione, Cosimo Palmisano, Umberto Panniello:
Using context to improve the effectiveness of segmentation and targeting in e-commerce. Expert Syst. Appl. 39(9): 8439-8451 (2012) - 2011
- [j1]Michele Gorgoglione, Umberto Panniello:
Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach. J. Intell. Learn. Syst. Appl. 3(2A): 90-102 (2011) - [c6]Umberto Panniello, Michele Gorgoglione:
Context-Aware Recommender Systems: A Comparison Of Three Approaches. DART@AI*IA 2011 - [c5]Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin:
The effect of context-aware recommendations on customer purchasing behavior and trust. RecSys 2011: 85-92
2000 – 2009
- 2009
- [c4]Michele Gorgoglione, Umberto Panniello:
Including Context in a Transactional Recommender System Using a Pre-filtering Approach: Two Real E-commerce Applications. AINA Workshops 2009: 667-672 - [c3]Umberto Panniello, Michele Gorgoglione, Cosimo Palmisano:
Comparing Pre-filtering and Post-filtering Approach in a Collaborative Contextual Recommender System: An Application to E-Commerce. EC-Web 2009: 348-359 - [c2]Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, Anto Pedone:
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. RecSys 2009: 265-268 - 2008
- [c1]Maria Francesca Faraone, Michele Gorgoglione, Sabrina Lombardi, Cosimo Palmisano, Umberto Panniello, Alexander Tuzhilin:
The Effect of Context on the Predictive Performance of Segmentation. Web Intelligence/IAT Workshops 2008: 63-66
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last updated on 2024-10-07 21:26 CEST by the dblp team
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