A Fast and Better Hybrid Recommender System Based on Spark

Abstract : With the rapid development of information technology, recommender systems have become critical components to solve information overload. As an important branch, weighted hybrid recommender systems are widely used in electronic commerce sites, social networks and video websites such as Amazon, Facebook and Netflix. In practice, developers typically set a weight for each recommendation algorithm by repeating experiments until obtaining better accuracy. Despite the method could improve accuracy, it overly depends on experience of developers and the improvements are poor. What worse, workload will be heavy if the number of algorithms rises. To further improve performance of recommender systems, we design an optimal hybrid recommender system on Spark. Experimental results show that the system can improve accuracy, reduce execution time and handle large-scale datasets. Accordingly, the hybrid recommender system balances accuracy and execution time.
Type de document :
Communication dans un congrès
Guang R. Gao; Depei Qian; Xinbo Gao; Barbara Chapman; Wenguang Chen. 13th IFIP International Conference on Network and Parallel Computing (NPC), Oct 2016, Xi'an, China. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9966, pp.147-159, 2016, Network and Parallel Computing. 〈10.1007/978-3-319-47099-3_12〉
Liste complète des métadonnées

Littérature citée [21 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01648005
Contributeur : Hal Ifip <>
Soumis le : vendredi 24 novembre 2017 - 16:49:14
Dernière modification le : vendredi 24 novembre 2017 - 16:50:59

Fichier

 Accès restreint
Fichier visible le : 2019-01-01

Connectez-vous pour demander l'accès au fichier

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Jiali Wang, Hang Zhuang, Changlong Li, Hang Chen, Bo Xu, et al.. A Fast and Better Hybrid Recommender System Based on Spark. Guang R. Gao; Depei Qian; Xinbo Gao; Barbara Chapman; Wenguang Chen. 13th IFIP International Conference on Network and Parallel Computing (NPC), Oct 2016, Xi'an, China. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9966, pp.147-159, 2016, Network and Parallel Computing. 〈10.1007/978-3-319-47099-3_12〉. 〈hal-01648005〉

Partager

Métriques

Consultations de la notice

39