An Innovative Model for Object-Oriented Costs Estimating. - Vincenzo Giliberti; Michele Gorgoglione; Raffaele Vitulli (LMO, 1997)

Personalization in Context: Does Context Matter When Building Personalized Customer Models? - Michele Gorgoglione; Cosimo Palmisano; Alexander Tuzhilin (ICDM, 2006)

User Profiling with Hierarchical Context: An e-Retailer Case Study. - Cosimo Palmisano; Alexander Tuzhilin; Michele Gorgoglione (CONTEXT, 2007)

The Effect of Context on the Predictive Performance of Segmentation. - Maria Francesca Faraone; Michele Gorgoglione; Sabrina Lombardi; Cosimo Palmisano; Umberto Panniello; Alexander Tuzhilin (Web Intelligence/IAT Workshops, 2008)

Using Contextual Information in Transactional Segmentation: An Empirical Study in E-Commerce. - Maria Francesca Faraone; Michele Gorgoglione; Cosimo Palmisano (ICDM Workshops, 2008)

Using Contextual Information to Decrease the Cost of Incorrect Predictions in On-line Customer Behavior Modeling. - Michele Gorgoglione; Cosimo Palmisano; Sabrina Lombardi (ICDM Workshops, 2008)

Using Context to Improve Predictive Modeling of Customers in Personalization Applications. - Cosimo Palmisano; Alexander Tuzhilin; Michele Gorgoglione (IEEE Trans. Knowl. Data Eng., 2008)

Including Context in a Transactional Recommender System Using a Pre-filtering Approach: Two Real E-commerce Applications. - Michele Gorgoglione; Umberto Panniello (AINA Workshops, 2009)

Comparing Pre-filtering and Post-filtering Approach in a Collaborative Contextual Recommender System: An Application to E-Commerce. - Umberto Panniello; Michele Gorgoglione; Cosimo Palmisano (EC-Web, 2009)

Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. - Umberto Panniello; Alexander Tuzhilin; Michele Gorgoglione; Cosimo Palmisano; Anto Pedone (RecSys, 2009)

Contextual Segmentation: Using Context to Improve Behavior Predictive Models in E-commerce. - Maria Francesca Faraone; Michele Gorgoglione; Cosimo Palmisano (ICDM Workshops, 2010)

Context-Aware Recommender Systems: A Comparison Of Three Approaches. - Umberto Panniello; Michele Gorgoglione (DART@AI*IA, 2011)

The effect of context-aware recommendations on customer purchasing behavior and trust. - Michele Gorgoglione; Umberto Panniello; Alexander Tuzhilin (RecSys, 2011)

Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach. - Michele Gorgoglione; Umberto Panniello (J. Intell. Learn. Syst. Appl., 2011)

Incorporating context into recommender systems: an empirical comparison of context-based approaches. - Umberto Panniello; Michele Gorgoglione (Electron. Commer. Res., 2012)

Using context to improve the effectiveness of segmentation and targeting in e-commerce. - Maria Francesca Faraone; Michele Gorgoglione; Cosimo Palmisano; Umberto Panniello (Expert Syst. Appl., 2012)

The effect of context on misclassification costs in e-commerce applications. - Sabrina Lombardi; Michele Gorgoglione; Umberto Panniello (Expert Syst. Appl., 2013)

Comparing context-aware recommender systems in terms of accuracy and diversity. - Umberto Panniello; Alexander Tuzhilin; Michele Gorgoglione (User Model. User Adapt. Interact., 2014)

The impact of profit incentives on the relevance of online recommendations. - Umberto Panniello; Shawndra Hill; Michele Gorgoglione (Electron. Commer. Res. Appl., 2016)

Using context for online customer re-identification. - Umberto Panniello; Shawndra Hill; Michele Gorgoglione (Expert Syst. Appl., 2016)

Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems. - Umberto Panniello; Michele Gorgoglione; Alexander Tuzhilin (Inf. Syst. Res., 2016)

Leveraging Big Data for Sustaining Open Innovation: The Case of Social TV. - Angela Fortunato; Michele Gorgoglione; Antonio Messeni Petruzzelli; Umberto Panniello (Inf. Syst. Manag., 2017)

Recommendation strategies in personalization applications. - Michele Gorgoglione; Umberto Panniello; Alexander Tuzhilin (Inf. Manag., 2019)