197 citations · 252 across the 8 of their papers we have counts for
9 papers
Client Network: An Interactive Model for Predicting New Clients
Massimiliano Mattetti, Akihiro Kishimoto, Adi Botea +4
Understanding prospective clients becomes increasingly important as companies aim to enlarge their market bases. Traditional approaches typically treat each client in isolation, ei…
IRF: Interactive Recommendation through Dialogue
Oznur Alkan, Massimiliano Mattetti, Elizabeth M. Daly +2
Recent research focuses beyond recommendation accuracy, towards human factors that influence the acceptance of recommendations, such as user satisfaction, trust, transparency and s…
An Evaluation Framework for Interactive Recommender System
Oznur Alkan, Elizabeth M. Daly, Adi Botea
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…
Generating Dialogue Agents via Automated Planning
Adi Botea, Christian Muise, Shubham Agarwal +9
Dialogue systems have many applications such as customer support or question answering. Typically they have been limited to shallow single turn interactions. However more advanced…
A Survey of Parallel A*
Alex Fukunaga, Adi Botea, Yuu Jinnai +1
A* is a best-first search algorithm for finding optimal-cost paths in graphs. A* benefits significantly from parallelism because in many applications, A* is limited by memory usage…
MAPP: a Scalable Multi-Agent Path Planning Algorithm with Tractability and Completeness Guarantees
Ko-Hsin Cindy Wang, Adi Botea
Multi-agent path planning is a challenging problem with numerous real-life applications. Running a centralized search such as A* in the combined state space of all units is complet…