Recommender Systems with Deep Learning

Alessandro:ADA

Alessandro Suglia, Claudio Greco, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:

A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks. UMAP 2017: 202-211

Haochao：CDR

Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:

Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. PAKDD (2) 2016: 555-567

Paul:DNN

Paul Covington, Jay Adams, Emre Sargin:

Deep Neural Networks for YouTube Recommendations. RecSys 2016: 191-198

Ali：AMV

Ali Mamdouh Elkahky, Yang Song, Xiaodong He:

A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems. WWW 2015: 278-288

Jian：CFD

Jian Wei, Jianhua He, Kai Chen, Yi Zhou, Zuoyin Tang:

Collaborative filtering and deep learning based recommendation system for cold start items. Expert Syst. Appl. 69: 29-39 (2017)

Xin：AHC

Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang:

A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems. AAAI 2017: 1309-1315

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)