Incremental Matrix Co-factorization for Recommender Systems with Implicit Feedback
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[1] Geoffrey J. Gordon,et al. Relational learning via collective matrix factorization , 2008, KDD.
[2] Marcos Aurélio Domingues,et al. Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems , 2013, Inf. Process. Manag..
[3] João Gama,et al. Evaluation of recommender systems in streaming environments , 2015, ArXiv.
[4] Yehuda Koren,et al. Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[5] Yanxiang Huang,et al. TencentRec: Real-time Stream Recommendation in Practice , 2015, SIGMOD Conference.
[6] Zi Huang,et al. Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation , 2016, ACM Trans. Inf. Syst..
[7] Balázs Hidasi,et al. Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback , 2012, ECML/PKDD.
[8] John Riedl,et al. Incremental SVD-Based Algorithms for Highly Scaleable Recommender Systems , 2002 .
[9] James Caverlee,et al. Multi-Aspect Streaming Tensor Completion , 2017, KDD.
[10] João Gama,et al. Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback , 2014, UMAP.
[11] Eva Zangerle,et al. #nowplaying Music Dataset: Extracting Listening Behavior from Twitter , 2014, WISMM '14.
[12] João Gama,et al. Issues in evaluation of stream learning algorithms , 2009, KDD.
[13] Domonkos Tikk,et al. Scalable Collaborative Filtering Approaches for Large Recommender Systems , 2009, J. Mach. Learn. Res..
[14] Xing Xie,et al. Learning travel recommendations from user-generated GPS traces , 2011, TIST.
[15] João Gama,et al. Collaborative filtering with recency-based negative feedback , 2015, SAC.
[16] James Bailey,et al. Accelerating Online CP Decompositions for Higher Order Tensors , 2016, KDD.
[17] Luo Si,et al. Matrix co-factorization for recommendation with rich side information and implicit feedback , 2011, HetRec '11.
[18] Fangfang Li,et al. Coupled Item-Based Matrix Factorization , 2014, WISE.
[19] Òscar Celma,et al. Music Recommendation and Discovery - The Long Tail, Long Fail, and Long Play in the Digital Music Space , 2010 .
[20] Qiang Yang,et al. One-Class Collaborative Filtering , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[21] Nuria Oliver,et al. Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering , 2010, RecSys '10.
[22] Hiroyuki Kasai,et al. Online low-rank tensor subspace tracking from incomplete data by CP decomposition using recursive least squares , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[23] Brian D. Davison,et al. Co-factorization machines: modeling user interests and predicting individual decisions in Twitter , 2013, WSDM.
[24] Peter J. Haas,et al. Large-scale matrix factorization with distributed stochastic gradient descent , 2011, KDD.
[25] Yifan Hu,et al. Collaborative Filtering for Implicit Feedback Datasets , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[26] András A. Benczúr,et al. Exploiting temporal influence in online recommendation , 2014, RecSys '14.
[27] Badrish Chandramouli,et al. StreamRec: a real-time recommender system , 2011, SIGMOD '11.
[28] Domonkos Tikk,et al. Fast als-based matrix factorization for explicit and implicit feedback datasets , 2010, RecSys '10.
[29] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.