Personalized entity recommendation: a heterogeneous information network approach

@article{Yu2014PersonalizedER,
  title={Personalized entity recommendation: a heterogeneous information network approach},
  author={Xiao Yu and Xiang Ren and Yizhou Sun and Quanquan Gu and Bradley Sturt and Urvashi Khandelwal and Brandon Norick and Jiawei Han},
  journal={Proceedings of the 7th ACM international conference on Web search and data mining},
  year={2014}
}
  • Xiao YuXiang Ren Jiawei Han
  • Published 24 February 2014
  • Computer Science
  • Proceedings of the 7th ACM international conference on Web search and data mining
Among different hybrid recommendation techniques, network-based entity recommendation methods, which utilize user or item relationship information, are beginning to attract increasing attention recently. Most of the previous studies in this category only consider a single relationship type, such as friendships in a social network. In many scenarios, the entity recommendation problem exists in a heterogeneous information network environment. Different types of relationships can be potentially… 

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