230 citations · 559 across the 22 of their papers we have counts for
3 papers · 1 filter
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…
Improving Recommender Systems Beyond the Algorithm
Tobias Schnabel, Paul N. Bennett, Thorsten Joachims
Recommender systems rely heavily on the predictive accuracy of the learning algorithm. Most work on improving accuracy has focused on the learning algorithm itself. We argue that t…
Using Shortlists to Support Decision Making and Improve Recommender System Performance
Tobias Schnabel, Paul N. Bennett, Susan T. Dumais +1
In this paper, we study shortlists as an interface component for recommender systems with the dual goal of supporting the user's decision process, as well as improving implicit fee…