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Breaking the Barrier: Utilizing Large Language Models for Industrial
  Recommendation Systems through an Inferential Knowledge Graph

Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph

21 February 2024
Qian Zhao
Hao Qian
Ziqi Liu
Gong-Duo Zhang
Lihong Gu
    KELM
ArXivPDFHTML

Papers citing "Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph"

11 / 11 papers shown
Title
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALM
PILM
1.5K
13,182
0
27 Feb 2023
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
543
4,036
0
18 Apr 2021
GLM: General Language Model Pretraining with Autoregressive Blank
  Infilling
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Zhengxiao Du
Yujie Qian
Xiao Liu
Ming Ding
J. Qiu
Zhilin Yang
Jie Tang
BDL
AI4CE
125
1,545
0
18 Mar 2021
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
743
41,932
0
28 May 2020
FiBiNET: Combining Feature Importance and Bilinear feature Interaction
  for Click-Through Rate Prediction
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
Tongwen Huang
Zhiqi Zhang
Junlin Zhang
135
286
0
23 May 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
309
10,284
0
10 Jul 2018
Entire Space Multi-Task Model: An Effective Approach for Estimating
  Post-Click Conversion Rate
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Xiao Ma
Liqin Zhao
Guan Huang
Zhi Wang
Zelin Hu
Xiaoqiang Zhu
Kun Gai
59
417
0
21 Apr 2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for
  Recommender Systems
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Jianxun Lian
Xiaohuan Zhou
Fuzheng Zhang
Zhongxia Chen
Xing Xie
Guangzhong Sun
BDL
56
1,048
0
14 Mar 2018
Deep & Cross Network for Ad Click Predictions
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang
Bin Fu
Gang Fu
Mingliang Wang
102
1,233
0
17 Aug 2017
Joint Text Embedding for Personalized Content-based Recommendation
Joint Text Embedding for Personalized Content-based Recommendation
Ting-Li Chen
Liangjie Hong
Yue Shi
Yizhou Sun
42
29
0
04 Jun 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
174
3,659
0
24 Jun 2016
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