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Adaptive Self-Explication of Multiattribute Preferences
This 2011 paper by Oded Netzer and V. Srinivasan introduces Adaptive Self-Explication (ASE), a new web-based method for measuring consumer preference…
1 year, 4 months ago
Conjoint Analysis: Methods, Applications, and Recent Developments
Conjoint analysis, a significant marketing research technique, helps understand how customers make choices by evaluating trade-offs between product o…
1 year, 4 months ago
Current Issues and a “Wish List” for Conjoint Analysis
This paper, by Professor Bradlow, presents a "wish list" of unresolved issues and potential future research directions for conjoint analysis, a widel…
1 year, 4 months ago
Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis
The paper "Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis" introduces a novel approach to designing adaptive questionnaires for unde…
1 year, 4 months ago
Adaptive Polyhedral Methods for Conjoint Analysis
This 2002 paper introduces a novel method for adaptive conjoint analysis, termed Fast Polyhedral Adaptive Conjoint Estimation. Drawing upon mathemati…
1 year, 4 months ago
MSL: Enhancing LLM Recommenders via Masked Softmax Loss
The paper "MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender" identifies limitations of using the standard language modeling loss…
1 year, 4 months ago
Self-Supervised Deep Reinforcement Learning for Optimal Question Ranking
Tkachenko, Jedidi, and Ansari's paper addresses the challenge of lengthy consumer questionnaires, which can increase costs and decrease response qual…
1 year, 4 months ago
Adaptive Language Elicitation for Latent Information Discovery
2504.04204: Adaptive Elicitation of Latent Information Using Natural Language
This research paper introduces a novel framework for adaptive informatio…
1 year, 4 months ago
LLM Persona Bias: Promise and Peril in Simulation
They discuss using large language models (LLMs) to generate synthetic human personas for simulations across various fields. The authors highlight th…
1 year, 5 months ago
AutoTools: Automating Tool Use for Large Language Models
This paper introduces AutoTools, a novel framework designed to empower large language models (LLMs) to function as automated tool agents. This system…
1 year, 5 months ago