Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation

Embedding-based news recommendation for millions of users

Shumpei Okura, Yukihiro Tagami, Shingo Ono, and Akira Tajima. 2017 · 1942

Earlier work this paper cites.

Learning to hash with graph neural networks for recommender systems

Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, and Xia Hu. 2020 · 1998

Earlier work this paper cites.

Learning deep structured semantic models for web search using clickthrough data

Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, and Larry Heck. 2013 · 2013

Earlier work this paper cites.

Learning phrase representations using rnn encoder–decoder for statistical machine translation

Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014

Earlier work this paper cites.

Adam: A method for stochastic optimization

Yoshua Bengio and Yann LeCun. 2015 · 2015

Earlier work this paper cites.

A multi-view deep learning approach for cross domain user modeling in recommendation systems

Ali Mamdouh Elkahky, Yang Song, and Xiaodong He. 2015 · 2015

Earlier work this paper cites.

Deep neural networks for youtube recommendations

Paul Covington, Jay Adams, and Emre Sargin. 2016 · 2016

Earlier work this paper cites.

Hierarchical attention networks for document classification

Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016

Cited alongside, same era.

News recommender systems–survey and roads ahead

Mozhgan Karimi, Dietmar Jannach, and Michael Jugovac. 2018 · 2018

Cited alongside, same era.

Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs

Yu A Malkov and Dmitry A Yashunin. 2018 · 2018

Cited alongside, same era.

Representation learning with contrastive predictive coding

Original

Aaron van den Oord, Yazhe Li, and Oriol Vinyals. 2018 · 2018

Cited alongside, same era.

Dkn: Deep knowledge-aware network for news recommendation

Hongwei Wang, Fuzheng Zhang, Xing Xie, and Minyi Guo. 2018 · 2018

Cited alongside, same era.

Candidate generation with binary codes for large-scale top-n recommendation

Wang-Cheng Kang and Julian McAuley. 2019 · 2019

Later among the works it cites.

Hi-fi ark: Deep user representation via high-fidelity archive network

Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, and Xing Xie. 2019 · 2019

Later among the works it cites.

Graph enhanced representation learning for news recommendation

Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2020 · 2020

Later among the works it cites.

Octopus: Comprehensive and elastic user representation for the generation of recommendation candidates

Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, and Xing Xie. 2020 · 2020

Later among the works it cites.

Pinnersage: Multi-modal user embedding framework for recommendations at pinterest

Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, and Jure Leskovec. 2020 · 2020

Later among the works it cites.