Latent User Intent Modeling for Sequential Recommenders

Latent User Intent Modeling for Sequential Recommenders

17 November 2022

Alexandros Karatzoglou

Papers citing "Latent User Intent Modeling for Sequential Recommenders"

18 / 18 papers shown

Title
Intent Contrastive Learning for Sequential Recommendation Yong-Guang Chen Zhiwei Liu Jia Li Julian McAuley Caiming Xiong 70 307 0 05 Feb 2022
Controllable Multi-Interest Framework for Recommendation Yukuo Cen Jianwei Zhang Xu Zou Chang Zhou Hongxia Yang Jie Tang 46 268 0 19 May 2020
Sequential Recommender Systems: Challenges, Progress and Prospects Shoujin Wang Liang Hu Yan Wang LongBing Cao Quan Z. Sheng M. Orgun LRM BDL 60 410 0 28 Dec 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 74 2,354 0 06 Jun 2019
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall Chong Li Zhiyuan Liu Mengmeng Wu Yuchi Xu Pipei Huang Huan Zhao Guoliang Kang Qiwei Chen Wei Li Lee 52 380 0 17 Apr 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 45 91 0 22 Feb 2019
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 114 479 0 06 Dec 2018
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding Jiaxi Tang Ke Wang BDL 72 1,705 0 19 Sep 2018
Self-Attentive Sequential Recommendation Wang-Cheng Kang Julian McAuley HAI BDL 158 2,433 0 20 Aug 2018
A Simple Convolutional Generative Network for Next Item Recommendation Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis J. Jose Xiangnan He 59 549 0 15 Aug 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 224 1,277 0 30 May 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 181 1,239 0 16 Feb 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,008 0 02 Nov 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 119 1,720 0 01 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 312 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 186 2,531 0 02 Nov 2016
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 84 1,259 0 07 Jun 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,933 0 20 Dec 2013