A Neural Network Model for Social-Aware Recommendation
Social-aware recommender systems have been popular with the rapid growth of social media applications. Existing approaches have attempted to accommodate social information into typical Collaborative Filtering methods and achieved significant improvements. Neural networks are gaining increasing inter...
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Published in | Information Retrieval Technology Vol. 10648; pp. 125 - 137 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2017
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Online Access | Get full text |
ISBN | 3319701444 9783319701448 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-319-70145-5_10 |
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Summary: | Social-aware recommender systems have been popular with the rapid growth of social media applications. Existing approaches have attempted to accommodate social information into typical Collaborative Filtering methods and achieved significant improvements. Neural networks are gaining increasing interests in information retrieval tasks. However few studies have considered applying neural network in social-aware recommendation tasks. In this paper, we aim to fill this gap and propose a social-aware neural recommender system. Extensive experiments on real-world datasets demonstrate that our model outperforms state-of-art approaches significantly. |
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ISBN: | 3319701444 9783319701448 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-70145-5_10 |