10 search results - page 2 / 2 » A Comparative Analysis of Trust-Enhanced Recommenders for Co... |
AIR
2005
13 years 4 months ago
2005
As software organisations mature, their repositories of reusable software components from previous projects will also grow considerably. Remaining conversant with all components in...
GFKL
2007
Springer
13 years 11 months ago
2007
Springer
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
FLAIRS
2004
13 years 6 months ago
2004
Effective personalization is greatly demanded in highly heterogeneous and diverse e-commerce domain. In our approach we rely on the idea that an effective personalization techniqu...
SIGIR
2003
ACM
13 years 10 months ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...