Gaussian Embeddings for Collaborative Filtering

Conference object English OPEN
Dos Santos , Ludovic ; Piwowarski , Benjamin ; Gallinari , Patrick (2017)
  • Publisher: ACM
  • Related identifiers: doi: 10.1145/3077136.3080722
  • Subject: [ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR] | [ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG] | [ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processing | [ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]

International audience; Most collaborative ltering systems, such as matrix factorization, use vector representations for items and users. Those representations are deterministic, and do not allow modeling the uncertainty of the learned representation, which can be usefu... View more
  • References (12)
    12 references, page 1 of 2

    [1] Gerald G Brown and Herbert C Rutemiller. 1977. Means and Variances of Stochastic Vector Products with Applications to Random Linear Models. Management Science 24, 2 (October 1977).

    [2] Ludovic Dos Santos, Benjamin Piwowarski, and Patrick Gallinari. 2016. Multilabel Classi cation on Heterogeneous Graphs with Gaussian Embeddings. In ECML. DOI:

    [3] Zeno Gantner, Ste en Rendle, Christoph Freudenthaler, and Lars SchmidtThieme. 2011. MyMediaLite: A Free Recommender System Library. In RecSys.

    [4] Shizhu He, Kang Liu, Guoliang Ji, and Jun Zhao. 2015. Learning to Represent Knowledge Graphs with Gaussian Embedding. DOI: 2806416.2806502

    [5] Ste en Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars SchmidtThieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In Uncertainty in Arti cial Intelligence. AUAI Press, 452-461.

    [6] Francesco Ricci, Lior Rokach, Bracha Shapira, and Kantor Paul B. 2011. Recommender Systems Handbook. Vol. 532. DOI: 978-0-387-85820-3

    [7] R Salakhutdinov and A Mnih. 2007. Probabilistic Matrix Factorization. In Proceedings of Advances in Neural Information Processing Systems, Vol. 20. 1257-1264.

    [8] Luke Vilnis and Andrew McCallum. 2014. Word Representations via Gaussian Embedding. In ICLR.

    [9] Jun Wang and Jianhan Zhu. 2009. Portfolio theory of information retrieval. In SIGIR. ACM Press. DOI:

    [10] Markus Weimer, Alexandros Karatzoglou, Quoc Viet Le, and Alex Smola. 2007. Co Rank Maximum Margin Matrix Factorization for Collaborative Ranking. In Advances in Neural Information Processing Systems. 1-3.

  • Metrics
    No metrics available
Share - Bookmark