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09/16/2023
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
The traditional Dialogue State Tracking (DST) problem aims to track user...
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11/11/2022
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates
With information systems becoming larger scale, recommendation systems a...
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07/07/2022
Learning Causal Effects on Hypergraphs
Hypergraphs provide an effective abstraction for modeling multi-way grou...
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02/04/2022
Lightweight Compositional Embeddings for Incremental Streaming Recommendation
Most work in graph-based recommender systems considers a static setting ...
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01/10/2022
Learning Fair Node Representations with Graph Counterfactual Fairness
Fair machine learning aims to mitigate the biases of model predictions a...
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08/07/2021
Learning to Represent Human Motives for Goal-directed Web Browsing
Motives or goals are recognized in psychology literature as the most fun...
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06/17/2021
Current Challenges and Future Directions in Podcast Information Access
Podcasts are spoken documents across a wide-range of genres and styles, ...
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03/03/2021
Personal Productivity and Well-being – Chapter 2 of the 2021 New Future of Work Report
We now turn to understanding the impact that COVID-19 had on the persona...
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01/28/2021
Large Scale Analysis of Multitasking Behavior During Remote Meetings
Virtual meetings are critical for remote work because of the need for sy...
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07/30/2020
How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19
The COVID-19 pandemic has had a wide-ranging impact on information worke...
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04/18/2019
Creative Procedural-Knowledge Extraction From Web Design Tutorials
Complex design tasks often require performing diverse actions in a speci...
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05/25/2016
Yum-me: A Personalized Nutrient-based Meal Recommender System
Nutrient-based meal recommendations have the potential to help individua...
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12/21/2015
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis
User preference profiling is an important task in modern online social n...
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03/17/2014