A Simple Convolutional Generative Network for Next Item Recommendation

A Simple Convolutional Generative Network for Next Item Recommendation

15 August 2018

Alexandros Karatzoglou

Ioannis Arapakis

Papers citing "A Simple Convolutional Generative Network for Next Item Recommendation"

15 / 115 papers shown

Title
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction Qi Pi Xiaoqiang Zhu Guorui Zhou Yujing Zhang Zhe Wang Lejian Ren Ying Fan Kun Gai 12 204 0 10 Jun 2020
A Generic Network Compression Framework for Sequential Recommender Systems Yang Sun Fajie Yuan Ming Yang Guoao Wei Zhou Zhao Duo Liu 26 54 0 21 Apr 2020
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation Fajie Yuan Xiangnan He Alexandros Karatzoglou Liguang Zhang 21 0 0 13 Jan 2020
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution Shu-Ting Shi Wenhao Zheng Jun Tang Qingguo Chen Yao Hu Jianke Zhu Ming Li AI4TS 6 7 0 08 Jan 2020
Sequential Recommender Systems: Challenges, Progress and Prospects Shoujin Wang Liang Hu Yan Wang LongBing Cao Quan Z. Sheng M. Orgun LRM BDL 48 399 0 28 Dec 2019
Empirical Analysis of Session-Based Recommendation Algorithms Malte Ludewig Noemi Mauro Sara Latifi Dietmar Jannach 23 93 0 28 Oct 2019
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation An Yan Shuo Cheng Wang-Cheng Kang Mengting Wan Julian McAuley 3DV HAI 6 122 0 27 Aug 2019
Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering Dimitrios Rafailidis Gerhard Weiss 16 1 0 29 Jun 2019
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering Xiaoyu Du Xiangnan He Fajie Yuan Jinhui Tang Zhiguang Qin Tat-Seng Chua HAI 6 25 0 26 Jun 2019
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation Fajie Yuan Xiangnan He Haochuan Jiang G. Guo Jian Xiong Zhezhao Xu Yilin Xiong AI4TS 18 103 0 11 Jun 2019
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations Hui Fang Danning Zhang Yiheng Shu G. Guo BDL HAI 13 42 0 30 Apr 2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems Jiaxuan You Yichen Wang Aditya Pal Pong Eksombatchai C. Rosenberg J. Leskovec 20 124 0 08 Apr 2019
Multi-Scale Quasi-RNN for Next Item Recommendation Chaoyue He Yong-jin Liu Qingyu Guo Chunyan Miao MQ 3DV 24 2 0 26 Feb 2019
Towards Neural Mixture Recommender for Long Range Dependent User Sequences Jiaxi Tang Francois Belletti Sagar Jain Minmin Chen Alex Beutel Can Xu Ed H. Chi 19 90 0 22 Feb 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 266 2,550 0 25 Jan 2016