A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems

2015 ◽  
Vol 9 (1) ◽  
pp. 89-103 ◽  
Author(s):  
Cataldo Musto ◽  
Giovanni Semeraro ◽  
Marco de Gemmis ◽  
Pasquale Lops
Keyword(s):  
Recommender Systems ◽  
Wealth Management ◽  
Case Based

Task Allocation in Case-Based Recommender Systems

2011 ◽  
pp. 268-279 ◽  
Author(s):  
Fabiana Lorenzi ◽  
Daniela Scherer dos Santos ◽  
Denise de Oliveira ◽  
Ana L.C. Bazzan
Keyword(s):  
Swarm Intelligence ◽  
Recommender Systems ◽  
Recommender System ◽  
Task Allocation ◽  
User Preferences ◽  
Cooperative Agents ◽  
Over Time ◽  
Case Based

Case-based recommender systems can learn about user preferences over time and automatically suggest products that fit these preferences. In this chapter, we present such a system, called CASIS. In CASIS, we combined the use of swarm intelligence in the task allocation among cooperative agents applied to a case-based recommender system to help the user to plan a trip.

Personalized finance advisory through case-based recommender systems and diversification strategies

2015 ◽  
Vol 77 ◽  
pp. 100-111 ◽  
Author(s):  
Cataldo Musto ◽  
Giovanni Semeraro ◽  
Pasquale Lops ◽  
Marco de Gemmis ◽  
Georgios Lekkas
Keyword(s):  
Recommender Systems ◽  
Diversification Strategies ◽  
Case Based

Case-based recommender systems

2005 ◽  
Vol 20 (3) ◽  
pp. 315-320 ◽  
Author(s):  
DEREK BRIDGE ◽  
MEHMET H. GÖKER ◽  
LORRAINE McGINTY ◽  
BARRY SMYTH
Keyword(s):  
Recommender Systems ◽  
Single Shot ◽  
Case Based ◽  
Selection Of

We describe recommender systems and especially case-based recommender systems. We define a framework in which these systems can be understood. The framework contrasts collaborative with case-based, reactive with proactive, single-shot with conversational, and asking with proposing. Within this framework, we review a selection of papers from the case-based recommender systems literature, covering the development of these systems over the last ten years.

Case-Based Recommender Systems

2011 ◽  
pp. 124-128 ◽  
Author(s):  
Fabiana Lorenzi ◽  
Francesco Ricci
Keyword(s):  
Recommender Systems ◽  
Web Sites ◽  
New Technology ◽  
Business To Consumer ◽  
Case Based

Recommender systems are being used in e-commerce web sites to help the customers in selecting products more suitable to their needs. The growth of Internet and the business to consumer e-Commerce has brought the need for such a new technology (Schafer, Konstan, & Riedl., 2001).

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