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
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.File in questo prodotto:
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