Michele Gorgoglione

发表

The Effect of Context on the Predictive Performance of Segmentation

Alexander Tuzhilin, Maria Francesca Faraone, Michele Gorgoglione, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

The effect of context-aware recommendations on customer purchasing behavior and trust

Alexander Tuzhilin, Michele Gorgoglione, Umberto Panniello, 2011, RecSys '11.

An Innovative Model for Object-Oriented Costs Estimating

Michele Gorgoglione, V. Giliberti, R. Vitulli, 1997, LMO.

Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems

Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, 2009, RecSys '09.

Including Context in a Transactional Recommender System Using a Pre-filtering Approach: Two Real E-commerce Applications

Michele Gorgoglione, Umberto Panniello, Umberto Panniello, 2009, 2009 International Conference on Advanced Information Networking and Applications Workshops.

The impact of profit incentives on the relevance of online recommendations

Michele Gorgoglione, Umberto Panniello, Shawndra Hill, 2016, Electron. Commer. Res. Appl..

Comparing Pre-filtering and Post-filtering Approach in a Collaborative Contextual Recommender System: An Application to E-Commerce

Michele Gorgoglione, Cosimo Palmisano, Umberto Panniello, 2009, EC-Web.

Using Contextual Information in Transactional Segmentation: An Empirical Study in E-Commerce

Maria Francesca Faraone, Michele Gorgoglione, Cosimo Palmisano, 2008, 2008 IEEE International Conference on Data Mining Workshops.

The effect of context on misclassification costs in e-commerce applications

Michele Gorgoglione, Umberto Panniello, S. Lombardi, 2013, Expert Syst. Appl..

User Profiling with Hierarchical Context: An e-Retailer Case Study

Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, 2007, CONTEXT.

Personalization in Context: Does Context Matter When Building Personalized Customer Models?

Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, 2006, Sixth International Conference on Data Mining (ICDM'06).

Incorporating Profit Margins into Recommender Systems: A Randomized Field Experiment of Purchasing Behavior and Consumer Trust

Kartik Hosanagar, Michele Gorgoglione, Umberto Panniello, 2014 .

Using Contextual Information to Decrease the Cost of Incorrect Predictions in On-line Customer Behavior Modeling

Michele Gorgoglione, S. Lombardi, Cosimo Palmisano, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Using context to improve the effectiveness of segmentation and targeting in e-commerce

Maria Francesca Faraone, Michele Gorgoglione, Cosimo Palmisano, 2012, Expert Syst. Appl..

Comparing context-aware recommender systems in terms of accuracy and diversity

Alexander Tuzhilin, Michele Gorgoglione, Umberto Panniello, 2012, User Modeling and User-Adapted Interaction.

Supporting Creative Teams in Organizations: An Approach Based on Technology

Michele Gorgoglione, Achille Claudio Garavelli, A. Garavelli, 2006 .

A knowledge framework for problem solving in the worldwide manufacturing competition

Michele Gorgoglione, A. Claudio Garavelli, 2003 .

Managing knowledge transfer by knowledge technologies

Michele Gorgoglione, Barbara Scozzi, A. Claudio Garavelli, 2002 .

Leveraging Big Data for Sustaining Open Innovation: The Case of Social TV

Antonio Messeni Petruzzelli, Michele Gorgoglione, Umberto Panniello, 2017, Inf. Syst. Manag..

Contextual Segmentation: Using Context to Improve Behavior Predictive Models in E-commerce

Maria Francesca Faraone, Michele Gorgoglione, Cosimo Palmisano, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Using Context to Improve Predictive Modeling of Customers in Personalization Applications

Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, 2008, IEEE Transactions on Knowledge and Data Engineering.

Fuzzy logic to improve the robustnesss of Decision Support Systems under uncertainty

Michele Gorgoglione, Barbara Scozzi, A. C. Garavelli, 1999 .

Incorporating context into recommender systems: an empirical comparison of context-based approaches

Michele Gorgoglione, Umberto Panniello, Umberto Panniello, 2012, Electronic Commerce Research.

Using context for online customer re-identification

Michele Gorgoglione, Umberto Panniello, Shawndra Hill, 2016, Expert Syst. Appl..

Context-Aware Recommender Systems: A Comparison Of Three Approaches

Michele Gorgoglione, Umberto Panniello, Umberto Panniello, 2011, DART@AI*IA.

Recommendation strategies in personalization applications

Alexander Tuzhilin, Michele Gorgoglione, Umberto Panniello, 2019, Inf. Manag..

Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach

Michele Gorgoglione, Umberto Panniello, Umberto Panniello, 2011, J. Intell. Learn. Syst. Appl..

Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems

Alexander Tuzhilin, Michele Gorgoglione, Umberto Panniello, 2016, Inf. Syst. Res..

A Contextual Modeling Approach to Context-Aware Recommender Systems

Michele Gorgoglione, Umberto Panniello, Umberto Panniello, 2011 .

Are you providing the “right” customer experience? The case of Banca Popolare di Bari

Bang Nguyen, Michele Gorgoglione, Umberto Panniello, 2013 .

European KM Forum IST Project No 2000-26393 D 3 . 2 Framework and Guidelines for Human Factors Change Management in KM

Jeroen Kemp, Bernd Bredehorst, Michele Gorgoglione, 2002 .