Article
Management
Peng Shia
Summary: This paper compares different matchmaking strategies used by online platforms in terms of their efficiency, measured by the amount of communication needed to achieve a good market outcome. The study finds that the relative performance of these strategies depends on how easily the preferences of agents on each side of the market can be described. Based on information theory analysis, the paper provides prescriptive insights for online platforms, indicating that each matchmaking strategy can offer near-optimal performance guarantees in markets with suitable characteristics.
MANAGEMENT SCIENCE
(2023)
Article
Management
Peng Shia
Summary: This paper compares the efficiency of different matchmaking strategies on online platforms and finds that the performance is influenced by the ease of describing agents' preferences. According to the analysis based on information theory, each strategy can provide near-optimal performance guarantees in markets with suitable characteristics, providing prescriptive insights for online platforms.
MANAGEMENT SCIENCE
(2023)
Article
Engineering, Multidisciplinary
Qi Yue, Zhibin Deng
Summary: In this paper, a stable two-sided matching (TSM) method considering the matching intention of agents under a hesitant fuzzy environment is proposed. The method uses a hesitant fuzzy element (HFE) as its basis and calculates the distance and projection of the normalized HFEs to determine agent satisfactions. A multiobjective programming model is constructed to maximize the satisfactions of two-sided agents, and a comprehensive satisfaction matrix is established based on agent satisfaction and matching intention. The G-S algorithm is used to solve the multiobjective programming model and obtain the best TSM scheme, which is verified with a terminal distribution example.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2023)
Article
Economics
Christian Haas
Summary: This article examines the use of heuristics in Two-Sided Matching to find improved solutions, comparing two heuristics with existing approaches and finding that they can generate stable solutions for scenarios with uncertainties and preferences. Using heuristics is shown to be effective in obtaining stable matchings with improved properties compared to traditional algorithms.
COMPUTATIONAL ECONOMICS
(2021)
Article
Computer Science, Artificial Intelligence
Kwei-guu Liu, Kentaro Yahiro, Makoto Yokoo
Summary: In this study, a student-project-resource matching-allocation problem is examined. It is found that dividing the problem into two separate parts can lead to sub-optimal outcomes, and a whole integrated solution is needed. A new strategyproof mechanism called Sample and Deferred Acceptance (SDA) is developed to ensure fairness and efficiency. Experimental comparisons show that SDA strikes a good balance between fairness and efficiency when students are classified into different types based on their preferences.
ARTIFICIAL INTELLIGENCE
(2023)
Article
Management
Zhen Lian, Garrett van Ryzin
Summary: This article is only permitted for research, teaching, and private study, and commercial use or systematic downloading without explicit Publisher approval is prohibited. The Publisher does not guarantee the accuracy, completeness, or other aspects of the article, as well as the quality of products or publications mentioned in the article.
MANAGEMENT SCIENCE
(2021)
Article
Engineering, Civil
Yun Xiao, Guangmin Wang, Meng Xu
Summary: This paper focuses on the matching mechanism in the shared parking slots problem and proposes a prospect theory-based two-sided satisfied and stable matching model. Numerical experiments are used to demonstrate the efficiency of the proposed model. Compared with other shared parking mechanisms, the proposed model considers the satisfaction degrees of both shared parking demanders and suppliers and obtains a two-sided satisfied and stable matching scheme.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Economics
Fangni Zhang, Robin Lindsey, Hai Yang, Chaoyi Shao, Wei Liu
Summary: This paper examines the pricing strategy of a platform operator in a two-sided parking sharing market, considering different business formats and economic objectives. It discusses how reselling and commissioning formats can yield identical platform profit and social welfare if the cost of inconvenience equals the cost of disappointment.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Engineering, Multidisciplinary
Oscar Real-Moreno, Julio C. Rodriguez-Quinonez, Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli, Jorge Alejandro Valdez-Rodriguez, Gabriel Trujillo-Hernandez, Jesus E. Miranda-Vega
Summary: The spatial object detection for autonomous navigation is an active research topic. Many works have been published using object detection and stereo vision systems. The proposed algorithm, SoRA, is a novel template match algorithm with faster run-times and low computational cost. It outperforms existing template match algorithms in terms of accuracy and computational cost, making it ideal for the intended application.
Article
Management
Ali Aouad, Daniela Saban
Summary: Motivated by online labor markets, this paper focuses on the online assortment optimization problem faced by a two-sided matching platform. The study investigates how platforms should design online assortment algorithms to maximize the expected number of matches in such settings. The results show that a simple greedy algorithm is 1/2-competitive against an optimal clairvoyant algorithm. However, no randomized algorithm can achieve a better competitive ratio, even in asymptotic regimes. The study further explores structured settings and develops new preference-aware balancing algorithms to improve the competitive ratios. The findings highlight the importance of suppliers' choices in designing online assortment algorithms for two-sided matching platforms.
MANAGEMENT SCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Yongxin Tong, Yuxiang Zeng, Bolin Ding, Libin Wang, Lei Chen
Summary: This paper investigates the Global Online Micro-task Allocation problem in spatial crowdsourcing and proposes the TGOA algorithm and its variants based on the random order model. By considering the average performance, algorithms with different competitive ratios are obtained and validated through experiments on synthetic and real datasets.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2021)
Article
Neurosciences
Junfeng Li, Dehong Xie, Miaoxin Li, Shiwei Liu, Chun'Ao Wei
Summary: This study explores the optimization of learning samples for color prediction of pre-colored fiber blends, finding that two samples are enough to determine the absorption and scattering coefficients of a pre-colored fiber.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Dongping Pu, Guanghui Yuan
Summary: This paper proposes a two-sided matching model that considers the demands of subjects and the intermediary, and solves the complex matching demands through generalized preference order determination methods and common expected preference order algorithm. It provides a stable matching optimization model that can effectively solve the practical matching problem.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Mohammad Javad Mirzaei, Ahad Kazemi
Summary: This paper presents a two-step approach for optimal energy management in electric vehicle parking lots, utilizing a new scheduling method for charge and discharge of electric vehicles and a modified approach to ensure maximum profit for EV owners. By implementing innovative management strategies based on equations and policies, the approach aims to accurately determine charge/discharge times and increase profitability.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Industrial
Zhen Wang, Cheryl Yang, Yiqiang Q. Zhao
Summary: We study the matching problem of passenger-taxi double-ended queue and obtain the equilibrium joining strategy and socially optimal strategy under two different information levels. The theoretical results show the monotonicity of the passenger utility function in the partially observable case and the threshold-type strategies in the observable case. Numerical scenarios illustrate the influence of parameters on the strategies, and the optimal social welfare is compared for the two information levels.
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT
(2023)
