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Related papers: Choice and Market Design

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This article summarizes some physics aspects of the market model of Weisbuch and Stauffer, Physica A (2003): How do demand and quality expectation adjust to each other in a buyer dominated market like cinema visits? And how can business…

Statistical Mechanics · Physics 2009-11-10 Dietrich Stauffer , Gerard Weisbuch

The field of AI research is advancing at an unprecedented pace, enabling automated hypothesis generation and experimental design across diverse domains such as biology, mathematics, and artificial intelligence. Despite these advancements,…

Machine Learning · Computer Science 2025-10-07 Yaowenqi Liu , Bingxu Meng , Rui Pan , Yuxing Liu , Jerry Huang , Jiaxuan You , Tong Zhang

When learning is used to inform decisions about humans, such as for loans, hiring, or admissions, this can incentivize users to strategically modify their features, at a cost, to obtain positive predictions. The common assumption is that…

Machine Learning · Computer Science 2025-08-15 Yonatan Sommer , Ivri Hikri , Lotan Amit , Nir Rosenfeld

A unique challenge for e-commerce recommendation is that customers are often interested in products that are more advanced than their already purchased products, but not reversed. The few existing recommender systems modeling unidirectional…

Machine Learning · Computer Science 2019-11-25 Jing Pan , Weian Sheng , Santanu Dey

Although the computer science community successfully harnessed exponential increases in computer performance to drive societal and economic change, the exponential growth in publications is proving harder to accommodate. To gain a deeper…

Digital Libraries · Computer Science 2019-09-06 Stephen M. Blackburn , Kathryn S. McKinley , Lexing Xie

We present a new model for prediction markets, in which we use risk measures to model agents and introduce a market maker to describe the trading process. This specific choice on modelling tools brings us mathematical convenience. The…

Computer Science and Game Theory · Computer Science 2014-03-05 Jinli Hu , Amos Storkey

Many of today's online services provide personalized recommendations to their users. Such recommendations are typically designed to serve certain user needs, e.g., to quickly find relevant content in situations of information overload.…

Information Retrieval · Computer Science 2023-12-25 Alvise De Biasio , Nicolò Navarin , Dietmar Jannach

Studying competition and market structure at the product level instead of brand level can provide firms with insights on cannibalization and product line optimization. However, it is computationally challenging to analyze product-level…

Machine Learning · Computer Science 2020-05-22 Fanglin Chen , Xiao Liu , Davide Proserpio , Isamar Troncoso , Feiyu Xiong

The affective attitude of liking a recommended item reflects just one category in a wide spectrum of affective phenomena that also includes emotions such as entranced or intrigued, moods such as cheerful or buoyant, as well as more…

Information Retrieval · Computer Science 2025-08-25 Tonmoy Hasan , Razvan Bunescu

In this paper, we consider the academic department ranking system of Italy, which is based on a performance index named Indice Standardizzato di Performance Dipartimentale (ISPD). While critiques to the ISPD have been moved for its marked…

Methodology · Statistics 2026-04-06 Giorgio E. Montanari , Marco Doretti

Artificial Intelligence models are increasingly used in manufacturing to inform decision-making. Responsible decision-making requires accurate forecasts and an understanding of the models' behavior. Furthermore, the insights into models'…

Artificial Intelligence · Computer Science 2022-04-13 Jože M. Rožanec , Elena Trajkova , Inna Novalija , Patrik Zajec , Klemen Kenda , Blaž Fortuna , Dunja Mladenić

Demand forecasting of hierarchical components is essential in manufacturing. However, its discussion in the machine-learning literature has been limited, and judgemental forecasts remain pervasive in the industry. Demand planners require…

As AI systems enter into a growing number of societal domains, these systems increasingly shape and are shaped by user preferences, opinions, and behaviors. However, the design of AI systems rarely accounts for how AI and users shape one…

Machine Learning · Computer Science 2024-04-19 Sarah Dean , Evan Dong , Meena Jagadeesan , Liu Leqi

The purpose of this paper is to apply the economics field of market design to develop a simple algebraic and graphic model of a combinatorial auction for formulary position assignments.

General Economics · Economics 2025-04-04 Lawrence W. Abrams

Recent technical advances has made machine learning (ML) a promising component to include in end user facing systems. However, user experience (UX) practitioners face challenges in relating ML to existing user-centered design processes and…

Human-Computer Interaction · Computer Science 2020-01-22 Martin Lindvall , Jesper Molin

Fashion recommendation has witnessed a phenomenal growth of research, particularly in the domains of shop-the-look, contextaware outfit creation, personalizing outfit creation etc. Majority of the work in this area focuses on better…

Designers of online deliberative platforms aim to counter the degrading quality of online debates. Support technologies such as machine learning and natural language processing open avenues for widening the circle of people involved in…

Artificial Intelligence · Computer Science 2023-02-22 Ruth Shortall , Anatol Itten , Michiel van der Meer , Pradeep K. Murukannaiah , Catholijn M. Jonker

Socio-technical design embeds social investigations and inquiries into (Information) Technology Design processes. In this position paper, we propose, by using the aforementioned approach the design of technology and policies can…

Computers and Society · Computer Science 2023-04-24 Viktoria Horn , Claude Draude

Over the past years, fashion-related challenges have gained a lot of attention in the research community. Outfit generation and recommendation, i.e., the composition of a set of items of different types (e.g., tops, bottom, shoes,…

Information Retrieval · Computer Science 2022-11-30 Marjan Celikik , Matthias Kirmse , Timo Denk , Pierre Gagliardi , Sahar Mbarek , Duy Pham , Ana Peleteiro Ramallo

Basic principles of mathematical modeling are reviewed in this book, with the focus on physics and its practical applications, and examples of selected mathematical methods are presented. Most of the models have been imported from physics…

Classical Physics · Physics 2025-07-14 Sergej Pankratow
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