activity
20162025
most citedAttention Models in Graphs: A Survey

59 citations · 261 across the 24 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.LG2021

Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes

Aravind Reddy, Ryan A. Rossi, Zhao Song +6

In this paper, we introduce the online and streaming MAP inference and learning problems for Non-symmetric Determinantal Point Processes (NDPPs) where data points arrive in an arbi…

cs.CL2021

"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems

Victor S. Bursztyn, Jennifer Healey, Nedim Lipka +3

Conversations aimed at determining good recommendations are iterative in nature. People often express their preferences in terms of a critique of the current recommendation (e.g.,…

cs.HC2021★ 4 cited

An Evaluation-Focused Framework for Visualization Recommendation Algorithms

Zehua Zeng, Phoebe Moh, Fan Du +5

Although we have seen a proliferation of algorithms for recommending visualizations, these algorithms are rarely compared with one another, making it difficult to ascertain which a…

cs.HC2021★ 5 cited

Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways

Cindy Xiong, Vidya Setlur, Benjamin Bach +3

Well-designed data visualizations can lead to more powerful and intuitive processing by a viewer. To help a viewer intuitively compare values to quickly generate key takeaways, vis…

cs.CL2021★ 5 cited

Developing a Conversational Recommendation System for Navigating Limited Options

Victor S. Bursztyn, Jennifer Healey, Eunyee Koh +2

We have developed a conversational recommendation system designed to help users navigate through a set of limited options to find the best choice. Unlike many internet scale system…

cs.HC2021★ 10 cited

Insight-centric Visualization Recommendation

Camille Harris, Ryan A. Rossi, Sana Malik +5

Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating v…