DLRS(近三年深度学习应用于推荐系统论文汇总)
2017-03-29 17:28
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Recommender Systems with Deep Learning Improving Scalability of Personalized Recommendation Systems for Enterprise Knowledge Workers – Authors: C Verma, M Hart, S Bhatkar, A Parker (2016) Multi-modal learning for video recommendation based on mobile application usage – Authors: X Jia, A Wang, X Li, G Xun, W Xu, A Zhang (2016) Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs – Authors: F Strub, J Mary (2016) Applying Visual User Interest Profiles for Recommendation and Personalisation – Authors: J Zhou, R Albatal, C Gurrin (2016) Comparative Deep Learning of Hybrid Representations for Image Recommendations – Authors: C Lei, D Liu, W Li, Zj Zha, H Li (2016) Tag-Aware Recommender Systems Based on Deep Neural Networks – Authors: Y Zuo, J Zeng, M Gong, L Jiao (2016) Quote Recommendation in Dialogue using Deep Neural Network – Authors: H Lee, Y Ahn, H Lee, S Ha, S Lee (2016) Toward Fashion-Brand Recommendation Systems Using Deep-Learning: Preliminary Analysis – Authors: Y Wakita, K Oku, K Kawagoe (2016) Word embedding based retrieval model for similar cases recommendation – Authors: Y Zhao, J Wang, F Wang (2016) ConTagNet: Exploiting User Context for Image Tag Recommendation – Authors: Ys Rawat, Ms Kankanhalli (2016) Wide & Deep Learning for Recommender Systems – Authors: Ht Cheng, L Koc, J Harmsen, T Shaked, T Chandra… (2016) On Deep Learning for Trust-Aware Recommendations in Social Networks. – Authors: S Deng, L Huang, G Xu, X Wu, Z Wu (2016) A Survey and Critique of Deep Learning on Recommender Systems – Authors: L Zheng (2016) Collaborative Filtering and Deep Learning Based Hybrid Recommendation for Cold Start Problem – Authors: J Wei, J He, K Chen, Y Zhou, Z Tang (2016) Collaborative Filtering and Deep Learning Based Recommendation System For Cold Start Items – Authors: J Wei, J He, K Chen, Y Zhou, Z Tang (2016) Deep Neural Networks for YouTube Recommendations – Authors: P Covington, J Adams, E Sargin (2016) Towards Latent Context-Aware Recommendation Systems – Authors: M Unger, A Bar, B Shapira, L Rokach (2016) Automatic Recommendation Technology for Learning Resources with Convolutional Neural Network – Authors: X Shen, B Yi, Z Zhang, J Shu, H Liu (2016) Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling – Authors: Z Xu, C Chen, T Lukasiewicz, Y Miao, X Meng (2016) Latent Factor Representations for Cold-Start Video Recommendation – Authors: S Roy, Sc Guntuku (2016) Convolutional Matrix Factorization for Document Context-Aware Recommendation – Authors: D Kim, C Park, J Oh, S Lee, H Yu (2016) Conversational Recommendation System with Unsupervised Learning – Authors: Y Sun, Y Zhang, Y Chen, R Jin (2016) RecSys’ 16 Workshop on Deep Learning for Recommender Systems (DLRS) – Authors: A Karatzoglou, B Hidasi, D Tikk, O Sar (2016, Workshop proceedings) Ask the GRU: Multi-task Learning for Deep Text Recommendations – Authors: T Bansal, D Belanger, A Mccallum (2016) Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation – Authors: H Dai, Y Wang, R Trivedi, L Song (2016) Keynote: Deep learning for audio-based music recommendation – Authors: S Dieleman (2016) Tumblr Blog Recommendation with Boosted Inductive Matrix Completion – Authors: D Shin, S Cetintas, Kc Lee, Is Dhillon (2015) Deep Collaborative Filtering via Marginalized Denoising Auto-encoder – Authors: S Li, J Kawale, Y Fu (2015) Learning Image and User Features for Recommendation in Social Networks – Authors: X Geng, H Zhang, J Bian, Ts Chua (2015) UCT-Enhanced Deep Convolutional Neural Network for Move Recommendation in Go – Authors: S Paisarnsrisomsuk (2015) A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems – Authors: A Elkahky, Y Song, X He (2015) It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering – Authors: S Sahebi, P Brusilovsky (2015) Latent Context-Aware Recommender Systems – Authors: M Unger (2015) Learning Distributed Representations from Reviews for Collaborative Filtering – Authors: A Almahairi, K Kastner, K Cho, A Courville (2015) A Collaborative Filtering Approach to Real-Time Hand Pose Estimation – Authors: C Choi, A Sinha, Jh Choi, S Jang, K Ramani (2015) Collaborative Deep Learning for Recommender Systems – Authors: H Wang, N Wang, Dy Yeung (2014) CARS2: Learning Context-aware Representations for Context-aware Recommendations – Authors: Y Shi, A Karatzoglou, L Baltrunas, M Larson, A Hanjalic (2014) Relational Stacked Denoising Autoencoder for Tag Recommendation – Authors: H Wang, X Shi, Dy Yeung (2014)
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