Recommender systems are exploited in many fields for helping users to find goods and services. A collaborative filtering recommenderrealizes a knowledge-sharing system to find people having similar interests. However, some critical issues may lead to inaccurate suggestions.To provide a solution to such problems, this paper presents a novel SOM-based collaborative filtering recommender. Some experimental results confirm the effectiveness of the proposed solution.
A Collaborative Filtering Recommender Exploiting a SOM Network / Sarne', G. - 26:(2014), pp. 21.215-21.222. (Intervento presentato al convegno WIRN 2013 - 23rd Italian Workshop on Neural Networks tenutosi a Vietri sul Mare, Salerno, Italy nel 23-25/5/2013) [10.1007/978-3-319-04129-2_21].
A Collaborative Filtering Recommender Exploiting a SOM Network
SARNE' G
2014-01-01
Abstract
Recommender systems are exploited in many fields for helping users to find goods and services. A collaborative filtering recommenderrealizes a knowledge-sharing system to find people having similar interests. However, some critical issues may lead to inaccurate suggestions.To provide a solution to such problems, this paper presents a novel SOM-based collaborative filtering recommender. Some experimental results confirm the effectiveness of the proposed solution.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
