activity
20192025
most citedPersonalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function

11 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2025

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems

M. H. Maqbool, Moghis Fereidouni, Umar Farooq +2

The mobile app market has expanded exponentially, offering millions of apps with diverse functionalities, yet research in mobile app recommendation remains limited. Traditional seq…

cs.CL2023

Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema

Adib Mosharrof, M. H. Maqbool, A. B. Siddique

Task-oriented dialog systems empower users to accomplish their goals by facilitating intuitive and expressive natural language interactions. State-of-the-art approaches in task-ori…

cs.CL2023★ 11 cited

Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function

A. B. Siddique, M. H. Maqbool, Kshitija Taywade +1

Task-oriented dialog systems enable users to accomplish tasks using natural language. State-of-the-art systems respond to users in the same way regardless of their personalities, a…

cs.IR2023

MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation

M. H. Maqbool, Umar Farooq, Adib Mosharrof +2

Recommender systems have become ubiquitous in our digital lives, from recommending products on e-commerce websites to suggesting movies and music on streaming platforms. Existing r…

cs.CV2019★ 8 cited

Self-Attention Network for Skeleton-based Human Action Recognition

Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu +1

Skeleton-based action recognition has recently attracted a lot of attention. Researchers are coming up with new approaches for extracting spatio-temporal relations and making consi…