32 citations · 152 across the 18 of their papers we have counts for
21 papers
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
Chirag Shah, Ryen W. White, Reid Andersen +13
Log data can reveal valuable information about how users interact with Web search services, what they want, and how satisfied they are. However, analyzing user intents in log data…
Food Choice Mimicry on a Large University Campus
Kristina Gligoric, Arnaud Chiolero, Emre Kıcıman +3
Social influence is a strong determinant of food consumption, which in turn influences health. Although consistent observations have been made on the role of social factors in driv…
Taking Search to Task
Chirag Shah, Ryen W. White, Paul Thomas +3
The importance of tasks in information retrieval (IR) has been long argued for, addressed in different ways, often ignored, and frequently revisited. For decades, scholars made a c…
Imagining Future Digital Assistants at Work: A Study of Task Management Needs
Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman +11
Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a D…
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity
Kaize Ding, Elnaz Nouri, Guoqing Zheng +2
The success of graph neural networks on graph-based web mining highly relies on abundant human-annotated data, which is laborious to obtain in practice. When only few labeled nodes…
Understanding Questions that Arise When Working with Business Documents
Farnaz Jahanbakhsh, Elnaz Nouri, Robert Sim +2
While digital assistants are increasingly used to help with various productivity tasks, less attention has been paid to employing them in the domain of business documents. To build…