26
논문
1,658
피인용 합
2005
첫 논문
2026
최근 논문
01저널·주제·방법
02소속·공저
20052010201520202025
소속
University of Minnesota2005–2026 · 23편
불러오는 중…
03논문
26편
- EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference with ML- Generated Variables
- Toward Sustainable Electricity Markets: Capacity-Based Pricing for Electric Vehicle Smart Charging
- Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations
- Longitudinal Impact of Preference Biases on Recommender Systems’ Performance
- Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses
- Bidder Support in Multi-item Multi-unit Continuous Combinatorial Auctions: A Unifying Theoretical Framework
- Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework
- How Decision Complexity Affects Outcomes in Combinatorial Auctions
- Understanding User-Generated Content and Customer Engagement on Facebook Business Pages
- Reducing Recommender System Biases: An Investigation of Rating Display Designs
- Designing Real-Time Feedback for Bidders in Homogeneous-Item Continuous Combinatorial Auctions
- Efficient Computational Strategies for Dynamic Inventory Liquidation
- Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining
- Effects of Online Recommendations on Consumers’ Willingness to Pay
- Coalition-Based Pricing in Ascending Combinatorial Auctions
- Bundling Effects on Variety Seeking for Digital Information Goods
- A Machine Learning Approach to Improving Dynamic Decision Making
- Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects
- Impact of Information Feedback in Continuous Combinatorial Auctions: An Experimental Study of Economic Performance
- Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression
- Effect of Information Feedback on the Outcomes and Dynamics of Multisourcing Multiattribute Procurement Auctions
- Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions
- REQUEST: A Query Language for Customizing Recommendations
- Making Sense of Technology Trends in the Information Technology Landscape: A Design Science Approach
- Designing Intelligent Software Agents for Auctions with Limited Information Feedback
- Toward Comprehensive Real-Time Bidder Support in Iterative Combinatorial Auctions
04합친 기록
- A5056123613Gediminas Adomavičius · 25편 · ORCID · 대표 기록
- A5097503809Adomavicius · 1편 · surname-only + shared coauthor surnames