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.
Sarne', G. (2014). A Collaborative Filtering Recommender Exploiting a SOM Network. In Proceedings of WIRN 2013 (pp.215-222). Berlin : Springer [10.1007/978-3-319-04129-2_21].
A Collaborative Filtering Recommender Exploiting a SOM Network
SARNE' G
2014
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.File | Dimensione | Formato | |
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