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We tackle the problem of constructive preference elicitation, that is the problem of learning user preferences over very large decision problems, involving a combinatorial space of possible outcomes. In this setting, the suggested…

Machine Learning · Statistics 2018-05-08 Paolo Dragone , Stefano Teso , Mohit Kumar , Andrea Passerini

During the conceptual and prototype design stage of an industrial product, it is crucial to take assembly/disassembly and maintenance operations in advance. A well-designed system should enable relatively easy access of operating…

Robotics · Computer Science 2012-06-08 Liang Ma , Ruina Ma , Damien Chablat , Fouad Bennis

Traditional recommender systems present a relatively static list of recommendations to a user where the feedback is typically limited to an accept/reject or a rating model. However, these simple modes of feedback may only provide limited…

Information Retrieval · Computer Science 2019-04-17 Oznur Alkan , Elizabeth M. Daly , Adi Botea

This paper introduces constraint-based breakpoints, a technique for designing responsive visualizations for a wide variety of screen sizes and datasets. Breakpoints in responsive visualization define when different visualization designs are…

Human-Computer Interaction · Computer Science 2024-09-04 Sarah Schöttler , Jason Dykes , Jo Wood , Uta Hinrichs , Benjamin Bach

Adopting advances in recommendation systems is often challenging in industrial settings due to unique constraints. This paper aims to highlight these constraints through the lens of feature interactions. Feature interactions are critical…

Information Retrieval · Computer Science 2024-12-04 Siddarth Malreddy , Matthew Lawhon , Usha Amrutha Nookala , Aditya Mantha , Dhruvil Deven Badani

File systems play an essential role in modern society for managing precious data. To meet diverse needs, they often support many configuration parameters. Such flexibility comes at the price of additional complexity which can lead to subtle…

Operating Systems · Computer Science 2025-02-12 Tabassum Mahmud , Om Rameshwar Gatla , Duo Zhang , Carson Love , Ryan Bumann , Varun S Girimaji , Mai Zheng

One of the open questions in the field of interaction design is "what inputs or interaction techniques should be used with augmented reality devices?" The transition from a touchpad and a keyboard to a multi-touch device was relatively…

Human-Computer Interaction · Computer Science 2021-05-28 Adam S. Williams , Francisco R. Ortega

We propose a framework for deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects such…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-24 Alan Dearle , Graham Kirby , Andrew McCarthy

This is a preliminary work on configuration knowledge representation which serves as a foundation for building interactive configuration systems in Answer Set programming (ASP). The major concepts of the product configuration problem are…

Artificial Intelligence · Computer Science 2021-09-20 Seemran Mishra

Recently, self-learning methods based on user satisfaction metrics and contextual bandits have shown promising results to enable consistent improvements in conversational AI systems. However, directly targeting such metrics by off-policy…

Machine Learning · Computer Science 2023-05-16 Mohammad Kachuee , Sungjin Lee

We propose a framework for the deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-25 Alan Dearle , Graham Kirby , Andrew McCarthy

Manipulation planning is the problem of finding a sequence of robot configurations that involves interactions with objects in the scene, e.g., grasping and placing an object, or more general tool-use. To achieve such interactions,…

Robotics · Computer Science 2022-08-01 Jung-Su Ha , Danny Driess , Marc Toussaint

Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help users find items of interest of a particular type, such as…

Information Retrieval · Computer Science 2011-07-04 M. H. Goker , P. Langley , C. A. Thompson

Motion in-betweening, a fundamental task in character animation, consists of generating motion sequences that plausibly interpolate user-provided keyframe constraints. It has long been recognized as a labor-intensive and challenging…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Setareh Cohan , Guy Tevet , Daniele Reda , Xue Bin Peng , Michiel van de Panne

Leveraging machine learning methods to solve constraint satisfaction problems has shown promising, but they are mostly limited to a static situation where the problem description is completely known and fixed from the beginning. In this…

Machine Learning · Computer Science 2025-09-23 Wook Lee , Frans A. Oliehoek

The knowledge base paradigm aims to express domain knowledge in a rich formal language, and to use this domain knowledge as a knowledge base to solve various problems and tasks that arise in the domain by applying multiple forms of…

Artificial Intelligence · Computer Science 2016-07-06 Pieter Van Hertum , Ingmar Dasseville , Gerda Janssens , Marc Denecker

We propose a computational design tool to enable casual end-users to easily design, fabricate, and assemble flat-pack furniture with guaranteed manufacturability. Using our system, users select parameterized components from a library and…

Graphics · Computer Science 2022-04-15 Wenzhong Yan , Dawei Zhao , Ankur Mehta

Context: The Configuration Management of the development and production environments is an important aspect of IT operations. However, managing the configuration differences between these two environments can be challenging, leading to…

Software Engineering · Computer Science 2025-05-16 Marcos Nazario , Rodrigo Bonifacio , Gustavo Pinto

In large-scale feature models, feature modeling and configuration processes are highly expected to be done by a group of stakeholders. In this context, recommendation techniques can increase the efficiency of feature-model design and find…

Artificial Intelligence · Computer Science 2021-04-14 Viet-Man Le

In many scenarios, configurators support the configuration of a solution that satisfies the preferences of a single user. The concept of \emph{multi-configuration} is based on the idea of configuring a set of configurations. Such a…

Artificial Intelligence · Computer Science 2023-10-20 Benjamin Ritz , Alexander Felfernig , Viet-Man Le , Sebastian Lubos