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Found 11 papers, 1 papers with code
Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines
To this end, an extensive dataset has been compiled through engagements with New Bing, documenting the websites it cites alongside those listed by the conventional search engine.
Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems
Conversely, a demand-based recommender system fosters price competition among sellers and results in a lower price, owing to its misalignment with sellers' goals.
"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets
With the advent of general-purpose Generative AI, the interest in discerning its impact on the labor market escalates.
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making
Then, we transform the social welfare maximization problem into the risk minimization task in machine learning, and derive a fairness-aware scoring system with the help of mixed integer programming.
I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling
Reconstructing a high-precision and high-fidelity 3D human hand from a color image plays a central role in replicating a realistic virtual hand in human-computer interaction and virtual reality applications.
Emotions in Online Content Diffusion
We apply a partial-linear instrumental variable approach with a double machine learning framework to causally identify the impact of the negative discrete emotions on online content diffusion.
Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach
In this study, we take a design-science perspective to propose a recommendation framework that helps users to select healthcare interventions.
Compound Binary Search Tree and Algorithms
The Binary Search Tree (BST) is average in computer science which supports a compact data structure in memory and oneself even conducts a row of quick algorithms, by which people often apply it in dynamical circumstance.
Data Structures and Algorithms Databases 05C05 H.2.7; I.2.8
Social Media Would Not Lie: Prediction of the 2016 Taiwan Election via Online Heterogeneous Data
First, public opinions in online media dominate traditional polls in Taiwan election prediction in terms of both predictive power and timeliness.
Generic and Efficient Solution Solves the Shortest Paths Problem in Square Runtime
We study a group of new methods to solve an open problem that is the shortest paths problem on a given fix-weighted instance.
Find an Optimal Path in Static System and Dynamical System within Polynomial Runtime
We study an ancient problem that in a static or dynamical system, sought an optimal path, which the context always means within an extremal condition.
