activity
20182021
most citedPRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems

81 citations · 214 across the 5 of their papers we have counts for

collaborators

13 papers

cs.IR202176 cited

Complex Temporal Question Answering on Knowledge Graphs

Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy +1

Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with temporal intent are a special class of practical importance, but have not received much atte…

cs.IR2021

Counterfactual Explanations for Neural Recommenders

Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy

Understanding why specific items are recommended to users can significantly increase their trust and satisfaction in the system. While neural recommenders have become the state-of-…

cs.IR2021

Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs

Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum

The rise of personal assistants has made conversational question answering (ConvQA) a very popular mechanism for user-system interaction. State-of-the-art methods for ConvQA over k…

cs.IR2021

ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models

Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy +1

System-provided explanations for recommendations are an important component towards transparent and trustworthy AI. In state-of-the-art research, this is a one-way signal, though,…

cs.IR20201 cited

Conversational Question Answering over Passages by Leveraging Word Proximity Networks

Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum

Question answering (QA) over text passages is a problem of long-standing interest in information retrieval. Recently, the conversational setting has attracted attention, where a us…

cs.IR2020

Question Answering over Curated and Open Web Sources

Rishiraj Saha Roy, Avishek Anand

The last few years have seen an explosion of research on the topic of automated question answering (QA), spanning the communities of information retrieval, natural language process…