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Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

24 March 2022
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
    VLM
    AI4TS
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Papers citing "Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)"

28 / 78 papers shown
Title
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
385
1,379
0
17 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
244
4,261
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
391
1,967
0
31 Dec 2020
Learning from Task Descriptions
Learning from Task Descriptions
Orion Weller
Nicholas Lourie
Matt Gardner
Matthew E. Peters
95
90
0
16 Nov 2020
The Turking Test: Can Language Models Understand Instructions?
The Turking Test: Can Language Models Understand Instructions?
Avia Efrat
Omer Levy
ELM
LRM
112
96
0
22 Oct 2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with
  Mutual Information Maximization
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou
Haibo Wang
Wayne Xin Zhao
Yutao Zhu
Sirui Wang
Fuzheng Zhang
Zhongyuan Wang
Ji-Rong Wen
109
819
0
18 Aug 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
795
42,055
0
28 May 2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Steffen Rendle
Walid Krichene
Li Zhang
John R. Anderson
45
421
0
19 May 2020
A Survey on Conversational Recommender Systems
A Survey on Conversational Recommender Systems
Dietmar Jannach
A. Manzoor
Wanling Cai
Li Chen
48
417
0
01 Apr 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
132
1,405
0
28 Nov 2019
A Troubling Analysis of Reproducibility and Progress in Recommender
  Systems Research
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema
Simone Boglio
Paolo Cremonesi
Dietmar Jannach
44
198
0
18 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
439
20,181
0
23 Oct 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start
  Recommendation
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee
Jinbae Im
Seongwon Jang
Hyunsouk Cho
Sehee Chung
42
364
0
31 Jul 2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural
  Recommendation Approaches
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Maurizio Ferrari Dacrema
Paolo Cremonesi
Dietmar Jannach
50
586
0
16 Jul 2019
From Zero-Shot Learning to Cold-Start Recommendation
From Zero-Shot Learning to Cold-Start Recommendation
Jingjing Li
Mengmeng Jing
Ke Lu
Lei Zhu
Yang Yang
Zi Huang
37
149
0
20 Jun 2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian
Zuohui Fu
S. Muthukrishnan
Gerard de Melo
Yongfeng Zhang
74
465
0
12 Jun 2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder
  Representations from Transformer
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun
Jun Liu
Jian Wu
Changhua Pei
Xiao Lin
Wenwu Ou
Peng Jiang
BDL
HAI
181
2,171
0
14 Apr 2019
Personalized Top-N Sequential Recommendation via Convolutional Sequence
  Embedding
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
Jiaxi Tang
Ke Wang
BDL
75
1,708
0
19 Sep 2018
Self-Attentive Sequential Recommendation
Self-Attentive Sequential Recommendation
Wang-Cheng Kang
Julian McAuley
HAI
BDL
163
2,437
0
20 Aug 2018
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAI
LRM
79
876
0
30 Apr 2018
Neural Rating Regression with Abstractive Tips Generation for
  Recommendation
Neural Rating Regression with Abstractive Tips Generation for Recommendation
Piji Li
Zihao Wang
Zhaochun Ren
Lidong Bing
Wai Lam
66
297
0
01 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
120
2,647
0
13 Mar 2017
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Lei Zheng
Vahid Noroozi
Philip S. Yu
HAI
153
1,001
0
17 Jan 2017
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAI
VLM
179
3,659
0
24 Jun 2016
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
221
7,745
0
31 Aug 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,354
0
03 Jun 2014
BPR: Bayesian Personalized Ranking from Implicit Feedback
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
152
5,727
0
09 May 2012
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