ConjointNet: Enhancing Conjoint Analysis for Preference Prediction with Representation Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yanxia, Chen, Francine, Hakimi, Shabnam, Harinen, Totte, Filipowicz, Alex, Chen, Yan-Ying, Iliev, Rumen, Arechiga, Nikos, Murakami, Kalani, Lyons, Kent, Wu, Charlene, Klenk, Matt |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Represent Individual Differences for Choice Decision Making
by: Chen, Yan-Ying, et al.
Published: (2025)
by: Chen, Yan-Ying, et al.
Published: (2025)
Using LLMs to Model the Beliefs and Preferences of Targeted Populations
by: Namikoshi, Keiichi, et al.
Published: (2024)
by: Namikoshi, Keiichi, et al.
Published: (2024)
Measuring Preferences: from Conjoint Analysis to Integrated Conjoint Experiments
by: José Manuel Ramírez-Hurtado
Published: (2010)
by: José Manuel Ramírez-Hurtado
Published: (2010)
Leveraging Language Models and Bandit Algorithms to Drive Adoption of Battery-Electric Vehicles
by: Namikoshi, Keiichi, et al.
Published: (2024)
by: Namikoshi, Keiichi, et al.
Published: (2024)
Understanding the Cognitive Complexity in Language Elicited by Product Images
by: Chen, Yan-Ying, et al.
Published: (2024)
by: Chen, Yan-Ying, et al.
Published: (2024)
Deconstructing Taste: Toward a Human-Centered AI Framework for Modeling Consumer Aesthetic Perceptions
by: Hong, Matthew K., et al.
Published: (2026)
by: Hong, Matthew K., et al.
Published: (2026)
Parametric-ControlNet: Multimodal Control in Foundation Models for Precise Engineering Design Synthesis
by: Zhou, Rui, et al.
Published: (2024)
by: Zhou, Rui, et al.
Published: (2024)
Stylish and Functional: Guided Interpolation Subject to Physical Constraints
by: Chen, Yan-Ying, et al.
Published: (2024)
by: Chen, Yan-Ying, et al.
Published: (2024)
Measuring Students' Preferences for Reference Service: A Conjoint Analysis.
by: Halperin, Michael, et al.
Published: (1980)
by: Halperin, Michael, et al.
Published: (1980)
Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models
by: Zhou, Rui, et al.
Published: (2024)
by: Zhou, Rui, et al.
Published: (2024)
Designing Rewards for Rewarding Designs: Demonstrating the Impact of Rewards on the Creative Design Process
by: Nath, Surabhi S, et al.
Published: (2026)
by: Nath, Surabhi S, et al.
Published: (2026)
Beyond main effects assumption in Conjoint Analysis: Comparison of Conjoint Value Analysis vs. Choice-based Conjoint. Statistical approach and construction of designs applied to New Product Development
by: Andrés Paredes
Published: (2015)
by: Andrés Paredes
Published: (2015)
Learning Preferences from Conjoint Data: A Structural Deep Learning Approach
by: Acharya, Avidit, et al.
Published: (2026)
by: Acharya, Avidit, et al.
Published: (2026)
Identifying Subgroup and Context Effects in Conjoint Experiments
by: Wang, Steven, et al.
Published: (2025)
by: Wang, Steven, et al.
Published: (2025)
A Conjoint Analysis to Determine the Preferences for Some Selected M.B.A. Programs
by: Özge Sezgin
Published: (2006)
by: Özge Sezgin
Published: (2006)
A Conjoint Graph Representation Learning Framework for Hypertension Comorbidity Risk Prediction
by: Zhou, Leming, et al.
Published: (2025)
by: Zhou, Leming, et al.
Published: (2025)
Post Hoc Tourist Segmentation with Conjoint and Cluster Analysis
by: Sérgio Dominique Ferreira Lopes
Published: (2009)
by: Sérgio Dominique Ferreira Lopes
Published: (2009)
A Conjoint Analysis of Reference Services in Academic Libraries.
by: Crawford, Gregory A.
Published: (1994)
by: Crawford, Gregory A.
Published: (1994)
Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis
by: Ham, Dae Woong, et al.
Published: (2022)
by: Ham, Dae Woong, et al.
Published: (2022)
Retracted: Treatment of Severe Ptosis by Conjoint Fascial Sheath Suspension
by: BioMed Research International
Published: (2024)
by: BioMed Research International
Published: (2024)
Decoding Public Preferences in Volunteer Service Projects: An Empirical Study Based on Conjoint Experiment and Machine Learning Approaches
by: Rui Zhang, et al.
Published: (2025)
by: Rui Zhang, et al.
Published: (2025)
Preferences of Non‐Metropolitan Youth Towards Accessing Mental Health Services: A Choice‐Based Conjoint Analysis
by: Edwin Paul Mseke, et al.
Published: (2025)
by: Edwin Paul Mseke, et al.
Published: (2025)
Treatment and Decision‐Making Preferences of Adolescents and Young Adults With Advanced Cancer and Their Parents or Trusted Persons: An Adaptive Conjoint Analysis Study
by: Jennifer M. Snaman, et al.
Published: (2025)
by: Jennifer M. Snaman, et al.
Published: (2025)
Towards Context‐Specific EHDI Services: Understanding Caregivers' Priorities and Preferences in South Africa Through a Conjoint Analysis
by: Katijah Khoza‐Shangase, et al.
Published: (2025)
by: Katijah Khoza‐Shangase, et al.
Published: (2025)
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)
by: Goplerud, Max, et al.
Published: (2022)
A Human-Centered Risk Evaluation of Biometric Systems Using Conjoint Analysis
by: Ohki, Tetsushi, et al.
Published: (2024)
by: Ohki, Tetsushi, et al.
Published: (2024)
Supporting Feedback and Trust in CBME: A Conjoint WBA Workshop for Trainers and Trainees
by: Hing‐yu So, et al.
Published: (2026)
by: Hing‐yu So, et al.
Published: (2026)
The Organizational Dynamics of Bureaucratic Resistance to Undemocratic Pressures: A Conjoint Experiment in Brazil
by: Mariana Costa Silveira, et al.
Published: (2026)
by: Mariana Costa Silveira, et al.
Published: (2026)
Measurement Invariance of the Conjoint Community Resiliency Assessment Measure‐10 in South Korea
by: Kyeongwon Lee
Published: (2025)
by: Kyeongwon Lee
Published: (2025)
Capturing Perception to Poverty using Conjoint Analysis & Partial Profile Choice Experiment
by: De, Anushka, et al.
Published: (2024)
by: De, Anushka, et al.
Published: (2024)
Certification of Open Source Software Compliance: Insights From a Conjoint Experiment
by: Michael A. Zaggl, et al.
Published: (2025)
by: Michael A. Zaggl, et al.
Published: (2025)
Fine‐Grained Opinion Mining–Based Conjoint Analysis for Automatically Extracting Consumer Preference Using the Modelled Product Review Dataset
by: Bagus Setya Rintyarna, et al.
Published: (2026)
by: Bagus Setya Rintyarna, et al.
Published: (2026)
Price Optimization Combining Conjoint Data and Purchase History: A Causal Modeling Approach
by: Valkonen, Lauri, et al.
Published: (2023)
by: Valkonen, Lauri, et al.
Published: (2023)
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
Planning and Evaluation of New Academic Library Services by Means of Web-Based Conjoint Analysis
by: Decker, Reinhold, et al.
Published: (2006)
by: Decker, Reinhold, et al.
Published: (2006)
Your Reviews Replicate You: LLM-Based Agents as Customer Digital Twins for Conjoint Analysis
by: Xuan, Bin, et al.
Published: (2026)
by: Xuan, Bin, et al.
Published: (2026)
What Do Library Users Want? A Conjoint Measurement Technique May Yield the Answer.
by: Ramsing, Kenneth D., et al.
Published: (1982)
by: Ramsing, Kenneth D., et al.
Published: (1982)
Do Regulations Enhance Civil Servants' Trust in NGO Contractors for Public Service Innovation? A Comparative Analysis of Conjoint Experiments in China
by: Wei Li, et al.
Published: (2025)
by: Wei Li, et al.
Published: (2025)
Which Artificial Intelligences Do People Care About Most? A Conjoint Experiment on Moral Consideration
by: Ladak, Ali, et al.
Published: (2024)
by: Ladak, Ali, et al.
Published: (2024)
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
by: Nehme, Ghadi, et al.
Published: (2025)
by: Nehme, Ghadi, et al.
Published: (2025)
Similar Items
-
Learning to Represent Individual Differences for Choice Decision Making
by: Chen, Yan-Ying, et al.
Published: (2025) -
Using LLMs to Model the Beliefs and Preferences of Targeted Populations
by: Namikoshi, Keiichi, et al.
Published: (2024) -
Measuring Preferences: from Conjoint Analysis to Integrated Conjoint Experiments
by: José Manuel Ramírez-Hurtado
Published: (2010) -
Leveraging Language Models and Bandit Algorithms to Drive Adoption of Battery-Electric Vehicles
by: Namikoshi, Keiichi, et al.
Published: (2024) -
Understanding the Cognitive Complexity in Language Elicited by Product Images
by: Chen, Yan-Ying, et al.
Published: (2024)