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2006
IEEE

Better control on recommender systems

14 years 3 months ago
Better control on recommender systems
In the context of electronic commerce, recommender systems enable merchants to assist customers in finding available products that will best satisfy their need. However, a recommender system usually operates as a kind of black box from which customers receive recommendations for products. Of particular interest are recommender systems based on Collaborative Filtering, in which customers provide the recommender system with ratings on products and receive recommendations based on the similarity paradigm. In this paper, we introduce an approach in which customers self-control the collaborative filtering process. More precisely, our approach uses a list of contacts, which allows a better control on the recommendations provided locally (using the list of contacts), while still being able to access and even influence the global recommendations of the system (using the whole database of customers). We believe that our system allows more confidence in the customer because it enables him t...
Esma Aïmeur, Flavien Serge Mani Onana
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where WECWIS
Authors Esma Aïmeur, Flavien Serge Mani Onana
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