推荐系统概述7

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文章列表
推荐系统概述1
推荐系统概述2
推荐系统概述3
推荐系统概述4
推荐系统概述5
推荐系统概述6
推荐系统概述7

本篇是第7篇

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截止目前，推荐系统概述系列全部完毕，这一节，主要列出引用和看过的参考文献：

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[25] Covington, Paul, Jay Adams, and Emre Sargin. “Deep neural networks for youtube recommendations.” Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016.

[26] Christakopoulou, Evangelia, and George Karypis. “Local item-item models for top-n recommendation.” Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016.

[27] Teo, Choon Hui, et al. “Adaptive, Personalized Diversity for Visual Discovery.” Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016.

[28] Kim, Donghyun, et al. “Convolutional matrix factorization for document context-aware recommendation.” Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016.

[29] Davidson, James, et al. “The YouTube video recommendation system.” Proceedings of the fourth ACM conference on Recommender systems. ACM, 2010.

[30]项亮. 推荐系统实践[M]. 人民邮电出版社, 2012.

[31]弗朗西斯科・里奇等. 推荐系统：技术、评估及高效算法. 机械工业出版社, 2015.

[32] Steck, Harald. “Evaluation of recommendations: rating-prediction and ranking.” Proceedings of the 7th ACM conference on Recommender systems. ACM, 2013.

[33] Brovman, Yuri M., et al. “Optimizing Similar Item Recommendations in a Semi-structured Marketplace to Maximize Conversion.” Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016.

[34] Cremonesi, Paolo, Yehuda Koren, and Roberto Turrin. “Performance of recommender algorithms on top-n recommendation tasks.” Proceedings of the fourth ACM conference on Recommender systems. ACM, 2010.

[35] Liang, Dawen, et al. “Factorization meets the item embedding: Regularizing matrix factorization with item co-occurrence.” Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016.

[36] Puthiya Parambath, Shameem A., Nicolas Usunier, and Yves Grandvalet. “A coverage-based approach to recommendation diversity on similarity graph.” Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016.

[37] Massa, Paolo, and Paolo Avesani. “Trust-aware recommender systems.” Proceedings of the 2007 ACM conference on Recommender systems. ACM, 2007.

[38] Jamali, Mohsen, and Martin Ester. “A matrix factorization technique with trust propagation for recommendation in social networks.” Proceedings of the fourth ACM conference on Recommender systems. ACM, 2010.

[39] Karatzoglou, Alexandros, et al. “Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering.” Proceedings of the fourth ACM conference on Recommender systems. ACM, 2010.

[40] Shepitsen, Andriy, et al. “Personalized recommendation in social tagging systems using hierarchical clustering.” Proceedings of the 2008 ACM conference on Recommender systems. ACM, 2008.

[41] McAuley, Julian, and Jure Leskovec. “Hidden factors and hidden topics: understanding rating dimensions with review text.” Proceedings of the 7th ACM conference on Recommender systems. ACM, 2013.

[42] Hannon, John, Mike Bennett, and Barry Smyth. “Recommending twitter users to follow using content and collaborative filtering approaches.” Proceedings of the fourth ACM conference on Recommender systems. ACM, 2010.

[43] Gantner, Zeno, et al. “MyMediaLite: A free recommender system library.” Proceedings of the fifth ACM conference on Recommender systems. ACM, 2011.

[44] Krestel, Ralf, Peter Fankhauser, and Wolfgang Nejdl. “Latent dirichlet allocation for tag recommendation.” Proceedings of the third ACM conference on Recommender systems. ACM, 2009.

[45]Massa, Paolo, and Paolo Avesani. “Trust-aware collaborative filtering for recommender systems.” OTM Confederated International Conferences” On the Move to Meaningful Internet Systems”. Springer Berlin Heidelberg, 2004.

[46]P. Massa and P. Avesani. Trust-aware recommender systems. In Proc. of RecSys, pages 17–24, New York, NY, USA, 2007. ACM.

[47]郑捷. 机器学习算法原理与编程实践[M].电子工业出版社,2015.

[48]扎法拉尼, 阿巴西, 刘刘挺,等. 社会媒体挖掘 : Social media mining an introduction[M]. 人民邮电出版社, 2015.

[49] Maya Hristakeva, Kris JackA practical and Michael Ekstrand.”guide to building recommender systems:From Algorithms to Product.”
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[50]刘建平. 协同过滤算法总结.
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[51] Adomavicius, Gediminas, and Alexander Tuzhilin. “Context-aware recommender systems.” Recommender systems handbook. Springer US, 2015. 191-226.

[52] Covington, Paul, Jay Adams, and Emre Sargin. “Deep neural networks for youtube recommendations.” Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016.

[53] X. Su and T. M. Khoshgoftaar. A survey of collaborative filtering techniques. Advances in artificial intelligence, 2009:4, 2009.

[54] K. J. Oh, W. J. Lee, C. G. Lim, and H. J. Choi. Personalized news recommendation using classified keywords to capture user preference. In 16th International Conference on Advanced Communication Technology, pages 1283-1287, Feb 2014.

[55] W. Huang, Z. Wu, L. Chen, P. Mitra, and C. L. Giles.A neural probabilistic model for context based citation recommendation. In AAAI, pages 2404-2410, 2015

[56] D. Tang, B. Qin, T. Liu, and Y. Yang. User modeling with neural network for review rating prediction. In Proc. IJCAI, pages 1340-1346, 2015

[57] H. Wang, N. Wang, and D.-Y. Yeung. Collaborative deep learning for recommender systems. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’15, pages 1235-1244, New York, NY, USA, 2015. ACM.

[58] S. Sedhain, A. K. Menon, S. Sanner, and L. Xie. Autorec: Autoencoders meet collaborative filtering. In Proceedings of the 24th International Conference on World Wide Web, WWW ’15 Companion, pages 111-112, New York, NY, USA, 2015. ACM.

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[60] A. van den Oord, S. Dieleman, and B. Schrauwen. Deep content-based music recommendation. In C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger, editors, Advances in Neural Information Processing Systems 26, pages 2643-2651. Curran Associates, Inc., 2013.

写这篇博文用了很多时间和精力，如果这篇博文对你有帮助，希望您可以打赏给博主相国大人。哪怕只捐1毛钱，也是一种心意。通过这样的方式，也可以培养整个行业的知识产权意识。我可以和您建立更多的联系，并且在相关领域提供给您更多的资料和技术支持。

赏金将用于拉萨儿童图书公益募捐
手机扫一扫，即可：

附：《春天里，我们的拉萨儿童图书馆，需要大家的帮助》