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Customer Lifetime Value in Video Games Using Deep Learning and
  Parametric Models

Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models

28 November 2018
Pei Pei Chen
Anna Guitart
Ana Fernández del Río
África Periánez
ArXivPDFHTML

Papers citing "Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models"

16 / 16 papers shown
Title
Customer Lifetime Value Prediction with Uncertainty Estimation Using
  Monte Carlo Dropout
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
Xinzhe Cao
Yadong Xu
Xiaofeng Yang
72
0
0
24 Nov 2024
OptDist: Learning Optimal Distribution for Customer Lifetime Value
  Prediction
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
Yunpeng Weng
Xing Tang
Zhenhao Xu
Fuyuan Lyu
Dugang Liu
Zexu Sun
Xiuqiang He
40
2
0
16 Aug 2024
Neural Optimization with Adaptive Heuristics for Intelligent Marketing
  System
Neural Optimization with Adaptive Heuristics for Intelligent Marketing System
Changshuai Wei
Benjamin Zelditch
Joyce Chen
Andre Assuncao Silva T Ribeiro
J. K. Tay
Borja Ocejo Elizondo
Sathiya Keerthi Selvaraj
Aman Gupta
Licurgo Benemann De Almeida
21
2
0
17 May 2024
Reinforcement Learning from Statistical Feedback: the Journey from AB
  Testing to ANT Testing
Reinforcement Learning from Statistical Feedback: the Journey from AB Testing to ANT Testing
Feiyang Han
Yimin Wei
Zhaofeng Liu
Yanxing Qi
32
1
0
24 Nov 2023
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via
  Expert Routing and Game Whale Detection
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection
Shi-jing Zhang
Xin Yan
Xuejiao Yang
Binfeng Jia
Shuangyang Wang
23
9
0
24 Aug 2023
A Meta-learning based Stacked Regression Approach for Customer Lifetime
  Value Prediction
A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction
Karan Gadgil
S. Gill
A. Abdelmoniem
24
17
0
07 Aug 2023
Contrastive Multi-view Framework for Customer Lifetime Value Prediction
Contrastive Multi-view Framework for Customer Lifetime Value Prediction
Chuhan Wu
Jingjie Li
Qinglin Jia
Hong Zhu
Yuan Fang
Ruiming Tang
23
2
0
26 Jun 2023
The Ethics of AI in Games
The Ethics of AI in Games
Dávid Melhárt
Julian Togelius
Benedikte Mikkelsen
Christoffer Holmgård
Georgios N. Yannakakis
31
24
0
12 May 2023
CASPR: Customer Activity Sequence-based Prediction and Representation
CASPR: Customer Activity Sequence-based Prediction and Representation
Pin-Jung Chen
Sahil Bhatnagar
Sagar Goyal
D. Kowalczyk
Mayank Shrivastava
AI4TS
24
0
0
16 Nov 2022
Billion-user Customer Lifetime Value Prediction: An Industrial-scale
  Solution from Kuaishou
Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou
Kunpeng Li
Guangcui Shao
Naijun Yang
Xiao Fang
Yang Song
26
13
0
29 Aug 2022
On Analyzing Churn Prediction in Mobile Games
On Analyzing Churn Prediction in Mobile Games
Kihoon Jang
Junwhan Kim
Byunggu Yu
14
3
0
12 Apr 2021
Understanding & Predicting User Lifetime with Machine Learning in an
  Anonymous Location-Based Social Network
Understanding & Predicting User Lifetime with Machine Learning in an Anonymous Location-Based Social Network
J. Reelfs
Max Bergmann
O. Hohlfeld
Niklas Henckell
12
7
0
01 Mar 2021
A Time Series Approach To Player Churn and Conversion in Videogames
A Time Series Approach To Player Churn and Conversion in Videogames
Ana Fernández del Río
Anna Guitart
África Periánez
AI4TS
16
4
0
13 Mar 2020
Understanding Player Engagement and In-Game Purchasing Behavior with
  Ensemble Learning
Understanding Player Engagement and In-Game Purchasing Behavior with Ensemble Learning
Anna Guitart
Ana Fernández del Río
África Periánez
11
6
0
09 Jul 2019
From Non-Paying to Premium: Predicting User Conversion in Video Games
  with Ensemble Learning
From Non-Paying to Premium: Predicting User Conversion in Video Games with Ensemble Learning
Anna Guitart
S. Tan
Ana Fernández del Río
Pei Pei Chen
África Periánez
24
10
0
25 Jun 2019
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition
Anna Guitart
Pei Pei Chen
África Periánez
14
10
0
16 Jan 2019
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