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Multimodal large-scale models have significantly advanced the development of web agents, enabling perception and interaction with digital environments akin to human cognition. In this paper, we argue that web agents must first acquire…

Data search for scientific research is more complex than a simple web search. The emergence of large language models (LLMs) and their applicability for scientific tasks offers new opportunities for researchers who are looking for data,…

Digital Libraries · Computer Science 2025-10-29 Christin Katharina Kreutz , Anja Perry , Tanja Friedrich

Simulating user search behavior is a critical task in information retrieval, which can be employed for user behavior modeling, data augmentation, and system evaluation. Recent advancements in large language models (LLMs) have opened up new…

Information Retrieval · Computer Science 2025-04-11 Erhan Zhang , Xingzhu Wang , Peiyuan Gong , Zixuan Yang , Jiaxin Mao

Information seeking is an interactive behaviour of the end users with information systems, which occurs in a real environment known as context. Context affects information-seeking behaviour in many different ways. The purpose of this paper…

Information Retrieval · Computer Science 2018-05-18 Shahram Sedghi , Zeinab Shourmeij , Iman Tahamtan

This paper introduces a model of multi-unit organizations with either static structures, i.e., they are designed top-down following classical approaches to organizational design, or dynamic structures, i.e., the structures emerge over time…

General Economics · Economics 2022-09-12 Stephan Leitner

Background: The increasing adoption of AI assistants in programming has led to numerous studies exploring their benefits. While developers consistently report significant productivity gains from these tools, empirical measurements often…

Human-Computer Interaction · Computer Science 2025-01-07 Ebtesam Al Haque , Chris Brown , Thomas D. LaToza , Brittany Johnson

Personalization despite being an effective solution to the problem information overload remains tricky on account of multiple dimensions to consider. Furthermore, the challenge of avoiding overdoing personalization involves estimation of a…

Information Retrieval · Computer Science 2017-11-09 Arjumand Younus , Muhammad Atif Qureshi

The vast majority of fMRI studies of task-related brain activity utilize common levels of task demands and analyses that rely on the central tendencies of the data. This approach does not take into account perceived difficulty nor regional…

Neurons and Cognition · Quantitative Biology 2021-10-14 Jason Steffener , Chris Habeck , Dylan Franklin , Meghan Lau , Yara Yakoub , Maryse Gad

Information processing tasks involve complex cognitive mechanisms that are shaped by various factors, including individual goals, prior experience, and system environments. Understanding such behaviors requires a sophisticated and…

Human-Computer Interaction · Computer Science 2025-07-24 Kaixin Ji , Danula Hettiachchi , Falk Scholer , Flora D. Salim , Damiano Spina

In the social sciences, researchers search for information on the Web, but this is most often distributed on different websites, search portals, digital libraries, data archives, and databases. In this work, we present an integrated search…

Digital Libraries · Computer Science 2019-09-25 Daniel Hienert , Dagmar Kern , Katarina Boland , Benjamin Zapilko , Peter Mutschke

Analytical information needs, such as trend analysis and causal impact assessment, are prevalent across various domains including law, finance, science, and much more. However, existing information retrieval paradigms, whether based on…

Information Retrieval · Computer Science 2026-02-13 Yiteng Tu , Shuo Miao , Weihang Su , Yiqun Liu , Qingyao Ai

Traditional search methods primarily depend on string matches, while semantic search targets concept-based matches by recognizing underlying intents and contextual meanings of search terms. Semantic search is particularly beneficial for…

Computation and Language · Computer Science 2024-10-02 Phillip Schneider , Florian Matthes

The search of information in large text repositories has been plagued by the so-called document-query vocabulary gap, i.e. the semantic discordance between the contents in the stored document entities on the one hand and the human query on…

Information Retrieval · Computer Science 2020-04-22 Bhawani Selvaretnam , Mohammed Belkhatir

This paper focuses on the use of knowledge possessed by designers. Data collection was based on observations (by the cognitive ergonomics researcher) and simultaneous verbalisations (by the designers) in empirical studies conducted in the…

Human-Computer Interaction · Computer Science 2007-11-09 Willemien Visser

Understanding how an instructional approach shapes student's cognitive resources and engagement is central to improving undergraduate physics education especially for novice learners. This study examines how three instructional modalities…

Physics Education · Physics 2026-02-09 Razan Hamed , N. Sanjay Rebello

The growth of world-wide-web (WWW) spreads its wings from an intangible quantities of web-pages to a gigantic hub of web information which gradually increases the complexity of crawling process in a search engine. A search engine handles a…

Information Retrieval · Computer Science 2012-08-14 Sudarshan Nandy , Partha Pratim Sarkar , Achintya Das

Search engines are considered the primary tool to assist and empower learners in finding information relevant to their learning goals-be it learning something new, improving their existing skills, or just fulfilling a curiosity. While…

Information Retrieval · Computer Science 2021-11-30 Arthur Câmara , Nirmal Roy , David Maxwell , Claudia Hauff

Search and recommendation are the two most common approaches used by people to obtain information. They share the same goal -- satisfying the user's information need at the right time. There are already a lot of Internet platforms and Apps…

Information Retrieval · Computer Science 2021-10-01 Jing Yao , Zhicheng Dou , Ruobing Xie , Yanxiong Lu , Zhiping Wang , Ji-Rong Wen

Large scale projects increasingly operate in complicated settings whilst drawing on an array of complex data-points, which require precise analysis for accurate control and interventions to mitigate possible project failure. Coupled with a…

Computers and Society · Computer Science 2021-04-20 Nicholas Dacre , Fredrik Kockum , PK Senyo

Improvements in mobile technologies have led to a dramatic change in how and when people access and use information, and is having a profound impact on how users address their daily information needs. Smart phones are rapidly becoming our…

Information Retrieval · Computer Science 2019-01-15 Mohammad Aliannejadi , Morgan Harvey , Luca Costa , Matthew Pointon , Fabio Crestani
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