Cosimo Palmisano

According to our database1, Cosimo Palmisano
  • authored at least 12 papers between 2006 and 2012.
  • has a "Dijkstra number"2 of five.

Timeline

Legend:

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Links

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Bibliography

2012
Using context to improve the effectiveness of segmentation and targeting in e-commerce.
Expert Syst. Appl., 2012

2010
Contextual Segmentation: Using Context to Improve Behavior Predictive Models in E-commerce.
Proceedings of the ICDMW 2010, 2010

2009
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Comparing Pre-filtering and Post-filtering Approach in a Collaborative Contextual Recommender System: An Application to E-Commerce.
Proceedings of the E-Commerce and Web Technologies, 10th International Conference, 2009

2008
Using Context to Improve Predictive Modeling of Customers in Personalization Applications.
IEEE Trans. Knowl. Data Eng., 2008

Using Contextual Information to Decrease the Cost of Incorrect Predictions in On-line Customer Behavior Modeling.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Using Contextual Information in Transactional Segmentation: An Empirical Study in E-Commerce.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

The Effect of Context on the Predictive Performance of Segmentation.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007
User Profiling with Hierarchical Context: An e-Retailer Case Study.
Proceedings of the Modeling and Using Context, 2007

2006
Employee Profiling in the Total Reward Management.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Personalized Incentive Plans through Employee Profiling.
Proceedings of the ICEIS 2006, 2006

Personalization in Context: Does Context Matter When Building Personalized Customer Models?
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006


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