TY - GEN
T1 - IFUP
T2 - 11th ACM International Conference on Web Search and Data Mining, WSDM 2018
AU - Zhu, Feida
AU - Zhang, Yongfeng
AU - Yorke-Smith, Neil
AU - Guo, Guibing
AU - Chen, Xu
N1 - Publisher Copyright:
© 2018 Copyright held by the owner/author(s).
PY - 2018/2/2
Y1 - 2018/2/2
N2 - Recommendation system has became an important component in many real applications, ranging from e-commerce, music app to video-sharing site and on-line book store. The key of a successful recommendation system lies in the accurate user/item profiling. With the advent of web 2.0, quite a lot of multimodal information has been accumulated, which provides us with the opportunity to profile users in a more comprehensive manner. However, directly integrating multimodal information into recommendation system is not a trivial task, because they may be either homogenous or heterogeneous, which requires more advanced method for both fusion and alignment. This workshop aims to provide a platform for discussing the challenges and corresponding innovative approaches in fusing multi-dimensional information for user modeling and recommender systems. We hope more advanced technologies can be proposed or inspired, and also we hope that the direction of integrating different types of information can catch much more attention in both academic and industry.
AB - Recommendation system has became an important component in many real applications, ranging from e-commerce, music app to video-sharing site and on-line book store. The key of a successful recommendation system lies in the accurate user/item profiling. With the advent of web 2.0, quite a lot of multimodal information has been accumulated, which provides us with the opportunity to profile users in a more comprehensive manner. However, directly integrating multimodal information into recommendation system is not a trivial task, because they may be either homogenous or heterogeneous, which requires more advanced method for both fusion and alignment. This workshop aims to provide a platform for discussing the challenges and corresponding innovative approaches in fusing multi-dimensional information for user modeling and recommender systems. We hope more advanced technologies can be proposed or inspired, and also we hope that the direction of integrating different types of information can catch much more attention in both academic and industry.
KW - Information fusion
KW - Multi-dimensional
KW - User modeling
UR - http://www.scopus.com/inward/record.url?scp=85046955952&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046955952&partnerID=8YFLogxK
U2 - 10.1145/3159652.3160592
DO - 10.1145/3159652.3160592
M3 - Conference contribution
AN - SCOPUS:85046955952
T3 - WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining
SP - 804
EP - 805
BT - WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining
PB - Association for Computing Machinery, Inc
Y2 - 5 February 2018 through 9 February 2018
ER -