Recommendation in heterogeneous information networks with implicit user feedback

RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems

Volumn , Issue , 2013, Pages 347-350

  Yu, Xiao ^a   Ren, Xiang ^a   Sun, Yizhou ^b   Sturt, Bradley ^a   Khandelwal, Urvashi ^a   Gu, Quanquan ^a   Norick, Brandon ^a   Han, Jiawei ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b NORTHEASTERN UNIVERSITY   (United States)

Author keywords

Hybrid recommender system; Information network

Indexed keywords

EMPIRICAL STUDIES; HETEROGENEOUS INFORMATION; HYBRID RECOMMENDER SYSTEMS; IMPLICIT FEEDBACK; INFORMATION NETWORKS; OPTIMIZATION TECHNIQUES; RECOMMENDATION TECHNIQUES; RELATIONSHIPS BETWEEN ENTITIES;

RECOMMENDER SYSTEMS;

INFORMATION SERVICES;

EID: 84887577333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2507157.2507230     Document Type: Conference Paper

References (10)

1. L. Bottou. Large-scale machine learning with stochastic gradient descent. In COMPSTAT. 2010.
2. R. H. Byrd, P. Lu, J. Nocedal, and C. Zhu. A limited memory algorithm for bound constrained optimization. SIAM Journal on Scientific Computing, 16(5):1190-1208, 1995.
3. R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9:1871-1874, 2008.
4. M. Jamali and M. Ester. A matrix factorization technique with trust propagation for recommendation in social networks. In SIGKDD, 2010.
5. N. Lao and W.W. Cohen. Fast query execution for retrieval models based on path-constrained random walks. In Proceedings of SIGKDD, 2010.
6. H. Ma, H. Yang, M. Lyu, and I. King. Sorec: social recommendation using probabilistic matrix factorization. In CIKM, 2008.
7. S. Rendle, C. Freudenthaler, Z. Gantner, and L. Schmidt-Thieme. Bpr: Bayesian personalized ranking from implicit feedback. In UAI, 2009.
8. Y. Sun, J. Han, X. Yan, S. P. Yu, and T. Wu. PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks. In VLDB, 2011.
9. X. Yu, Q. Gu, M. Zhou, and J. Han. Citation prediction in heterogeneous bibliographic networks. In SDM, 2012.
10. Q. Yuan, L. Chen, and S. Zhao. Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation. In RecSys, 2011.