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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Bibliographic Details
Published inInformation Retrieval Technology Vol. 10648; pp. 125 - 137
Main Authors Xiao, Lin, Min, Zhang, Yiqun, Liu, Shaoping, Ma
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesLecture Notes in Computer Science
Online AccessGet full text
ISBN3319701444
9783319701448
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-70145-5_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.
ISBN:3319701444
9783319701448
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-70145-5_10