Modeling Behavioral Dynamics in Digital Content Consumption: An Attention-Based Neural Point Process Approach with Applications in Video Games-Reference-Cited by-同舟云学术

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Modeling Behavioral Dynamics in Digital Content Consumption: An Attention-Based Neural Point Process Approach with Applications in Video Games

Published:2024-07-18 Issue: Volume: Page:
ISSN:0732-2399
Container-title:Marketing Science
language:en
Short-container-title:Marketing Science

Author:

Yin Junming¹^ORCID,Feng Yue (Katherine)²^ORCID,Liu Yong³^ORCID

Affiliation:

1. Gotham AI, Berkeley, California 94720;

2. Department of Management and Marketing, Faculty of Business, Hong Kong Polytechnic University, Hong Kong, China;

3. HSLopez School of Business Analytics and Department of Marketing, Eller College of Management, University of Arizona, Tucson, Arizona 85721

Abstract

This paper develops a novel attention-based neural point process approach to model behavioral dynamics and predict future activities of consumers in digital content consumption.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Link

https://pubsonline.informs.org/doi/pdf/10.1287/mksc.2020.0180

Reference41 articles.

1. Survival and Event History Analysis

2. Repeat Purchase Intentions in Online Shopping: The Role of Satisfaction, Attitude, and Online Retailers' Performance

3. Learning to Be Creative: A Mutually Exciting Spatiotemporal Point Process Model for Idea Generation in Open Innovation

4. The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for semi-Markov processes.

5. Regression Analysis of Count Data

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