Ke Zhou

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 44

Top Topics

Community Question Answering

Evaluation Metrics

Kolmogorov Smirnov

Top Venues

ACM Trans. Inf. Syst.

Publications

Salvatore Greco, Ke Zhou, Licia Capra, Tania Cerquitelli, Daniele Quercia
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers. CoRR (2024)
Robert Nimmo, Marios Constantinides, Ke Zhou, Daniele Quercia, Simone Stumpf
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? CoRR (2024)
Ke Zhou, Sanja Scepanovic, Daniele Quercia
Characterizing Fake News Targeting Corporations. CoRR (2024)
Linus W. Dietz, Sanja Scepanovic, Ke Zhou, André Felipe Zanella, Daniele Quercia
Examining Inequality in Park Quality for Promoting Health Across 35 Global Cities. CoRR (2024)
Ke Zhou, Sanja Scepanovic, Daniele Quercia
Characterizing Fake News Targeting Corporations. ICWSM (2024)
Robert Nimmo, Marios Constantinides, Ke Zhou, Daniele Quercia, Simone Stumpf
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? CHI (2024)
Wen Zheng, Natasa Milic-Frayling, Ke Zhou
Contextual Knowledge Learning For Dialogue Generation. CoRR (2023)
Ke Zhou, Marios Constantinides, Daniele Quercia, Sanja Scepanovic
How Circadian Rhythms Extracted from Social Media Relate to Physical Activity and Sleep. ICWSM (2023)
Yuan Tian, Ke Zhou, Dan Pelleg
Characterization and Prediction of Mobile Tasks. ACM Trans. Inf. Syst. 41 (1) (2023)
Wen Zheng, Natasa Milic-Frayling, Ke Zhou
Contextual Knowledge Learning for Dialogue Generation. ACL (1) (2023)
Ke Zhou, Marios Constantinides, Sagar Joglekar, Daniele Quercia
Predicting Meeting Success With Nuanced Emotions. IEEE Pervasive Comput. 21 (2) (2022)
Yuan Tian, Ke Zhou, Dan Pelleg
What and How long: Prediction of Mobile App Engagement. ACM Trans. Inf. Syst. 40 (1) (2022)
Sanja Scepanovic, Luca Maria Aiello, Ke Zhou, Sagar Joglekar, Daniele Quercia
The Healthy States of America: Creating a Health Taxonomy with Social Media. ICWSM (2021)
Ke Zhou, Luca Maria Aiello, Sanja Scepanovic, Daniele Quercia, Sara Konrath
The Language of Situational Empathy. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Ke Zhou, Marios Constantinides, Luca Maria Aiello, Sagar Joglekar, Daniele Quercia
The Role of Different Types of Conversations for Meeting Success. IEEE Pervasive Comput. 20 (4) (2021)
Yuan Tian, Ke Zhou, Dan Pelleg
What and How long: Prediction of Mobile App Engagement. CoRR (2021)
Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. CoRR (2021)
Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. CIKM (2021)
Sanja Scepanovic, Luca Maria Aiello, Ke Zhou, Sagar Joglekar, Daniele Quercia
The Healthy States of America: Creating a Health Taxonomy with Social Media. CoRR (2021)
Wonyoung So, Edyta Paulina Bogucka, Sanja Scepanovic, Sagar Joglekar, Ke Zhou, Daniele Quercia
Humane Visual AI: Telling the Stories Behind a Medical Condition. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Zeyang Liu, Ke Zhou, Max L. Wilson
Meta-evaluation of Conversational Search Evaluation Metrics. CoRR (2021)
Zeyang Liu, Ke Zhou, Max L. Wilson
Meta-evaluation of Conversational Search Evaluation Metrics. ACM Trans. Inf. Syst. 39 (4) (2021)
Wonyoung So, Edyta Paulina Bogucka, Sanja Scepanovic, Sagar Joglekar, Ke Zhou, Daniele Quercia
Humane Visual AI: Telling the Stories Behind a Medical Condition. CoRR (2020)
Yuan Tian, Ke Zhou, Mounia Lalmas, Dan Pelleg
Identifying Tasks from Mobile App Usage Patterns. SIGIR (2020)
Yuan Tian, Ke Zhou, Mounia Lalmas, Yiqun Liu, Dan Pelleg
Cohort Modeling Based App Category Usage Prediction. UMAP (2020)
Bon Adriel Aseniero, Marios Constantinides, Sagar Joglekar, Ke Zhou, Daniele Quercia
MeetCues: Supporting Online Meetings Experience. IEEE VIS (Short Papers) (2020)
Zhijing Wu, Ke Zhou, Yiqun Liu, Min Zhang, Shaoping Ma
Does Diversity Affect User Satisfaction in Image Search. ACM Trans. Inf. Syst. 37 (3) (2019)
Wen Zheng, Ke Zhou
Enhancing Conversational Dialogue Models with Grounded Knowledge. CIKM (2019)
Weiqiang Lin, Natasa Milic-Frayling, Ke Zhou, Eugene Ch'ng
Predicting Outcomes of Active Sessions Using Multi-action Motifs. WI (2019)
Haitao Yu, Adam Jatowt, Roi Blanco, Joemon M. Jose, Ke Zhou
A Rank-biased Neural Network Model for Click Modeling. CHIIR (2019)
Marc Bron, Ke Zhou, Andy Haines, Mounia Lalmas
Uncovering Bias in Ad Feedback Data Analyses & Applications✱. WWW (Companion Volume) (2019)
Fan Zhang, Ke Zhou, Yunqiu Shao, Cheng Luo, Min Zhang, Shaoping Ma
How Well do Offline and Online Evaluation Metrics Measure User Satisfaction in Web Image Search? SIGIR (2018)
Yingying Wu, Yiqun Liu, Ke Zhou, Xiaochuan Wang, Min Zhang, Shaoping Ma
Treating Each Intent Equally: The Equilibrium of IA-Select. WWW (Companion Volume) (2018)
Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma
Detecting Collusive Spamming Activities in Community Question Answering. WWW (2017)
Cheng Luo, Yiqun Liu, Tetsuya Sakai, Ke Zhou, Fan Zhang, Xue Li, Shaoping Ma
Does Document Relevance Affect the Searcher's Perception of Time? WSDM (2017)
Beatrice Alex, Claire Grover, Jon Oberlander, Tara Thomson, Miranda Anderson, James Loxley, Uta Hinrichs, Ke Zhou
Palimpsest: Improving assisted curation of loco-specific literature. Digit. Scholarsh. Humanit. 32 (suppl_1) (2017)
Ye Chen, Ke Zhou, Yiqun Liu, Min Zhang, Shaoping Ma
Meta-evaluation of Online and Offline Web Search Evaluation Metrics. SIGIR (2017)
Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma, Yue Yin, Hengliang Luo
Detecting Promotion Campaigns in Query Auto Completion. CIKM (2016)
Ke Zhou, Miriam Redi, Andrew Haines, Mounia Lalmas
Predicting Pre-click Quality for Native Advertisements. WWW (2016)
Yiqun Liu, Zeyang Liu, Ke Zhou, Meng Wang, Huanbo Luan, Chao Wang, Min Zhang, Shaoping Ma
Predicting Search User Examination with Visual Saliency. SIGIR (2016)
Takehiro Yamamoto, Yiqun Liu, Min Zhang, Zhicheng Dou, Ke Zhou, Ilya Markov, Makoto P. Kato, Hiroaki Ohshima, Sumio Fujita
Overview of the NTCIR-12 IMine-2 Task. NTCIR (2016)
Horatiu S. Bota, Ke Zhou, Joemon M. Jose
Playing Your Cards Right: The Effect of Entity Cards on Search Behaviour and Workload. CHIIR (2016)
Jiaxin Mao, Yiqun Liu, Ke Zhou, Jian-Yun Nie, Jingtao Song, Min Zhang, Shaoping Ma, Jiashen Sun, Hengliang Luo
When does Relevance Mean Usefulness and User Satisfaction in Web Search? SIGIR (2016)
Ke Zhou, Yiqun Liu, Roger Jie Luo, Joemon M. Jose
HIA 2016: The 2nd International Workshop on Heterogeneous Information Access at SIGIR 2016. SIGIR (2016)
Ke Zhou, Claire Grover, Martin Klein, Richard Tobin
No More 404s: Predicting Referenced Link Rot in Scholarly Articles for Pro-Active Archiving. JCDL (2015)
Horatiu S. Bota, Ke Zhou, Joemon M. Jose
Exploring Composite Retrieval from the Users' Perspective. ECIR (2015)
Aleksandr Chuklin, Anne Schuth, Ke Zhou, Maarten de Rijke
A Comparative Analysis of Interleaving Methods for Aggregated Search. ACM Trans. Inf. Syst. 33 (2) (2015)
Thomas Demeester, Dolf Trieschnigg, Dong Nguyen, Djoerd Hiemstra, Ke Zhou
FedWeb Greatest Hits: Presenting the New Test Collection for Federated Web Search. WWW (Companion Volume) (2015)
Zeyang Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma
Influence of Vertical Result in Web Search Examination. SIGIR (2015)
Chao Wang, Yiqun Liu, Meng Wang, Ke Zhou, Jian-Yun Nie, Shaoping Ma
Incorporating Non-sequential Behavior into Click Models. SIGIR (2015)
Ye Chen, Yiqun Liu, Ke Zhou, Meng Wang, Min Zhang, Shaoping Ma
Does Vertical Bring more Satisfaction?: Predicting Search Satisfaction in a Heterogeneous Environment. CIKM (2015)
Ke Zhou, Roger Jie Luo, Djoerd Hiemstra, Joemon M. Jose
HIA'15: Heterogeneous Information Access Workshop at WSDM 2015. WSDM (2015)
Aleksandr Chuklin, Ke Zhou, Anne Schuth, Floor Sietsma, Maarten de Rijke
Evaluating intuitiveness of vertical-aware click models. SIGIR (2014)
Thomas Demeester, Dolf Trieschnigg, Dong Nguyen, Djoerd Hiemstra, Ke Zhou
Overview of the TREC 2014 Federated Web Search Track. TREC (2014)
Horatiu S. Bota, Ke Zhou, Joemon M. Jose, Mounia Lalmas
Composite retrieval of heterogeneous web search. WWW (2014)
Yiqun Liu, Ruihua Song, Min Zhang, Zhicheng Dou, Takehiro Yamamoto, Makoto P. Kato, Hiroaki Ohshima, Ke Zhou
Overview of the NTCIR-11 IMine Task. NTCIR (2014)
Ke Zhou, Thomas Demeester, Dong Nguyen, Djoerd Hiemstra, Dolf Trieschnigg
Aligning Vertical Collection Relevance with User Intent. CIKM (2014)
Yiqun Liu, Chao Wang, Ke Zhou, Jian-Yun Nie, Min Zhang, Shaoping Ma
From Skimming to Reading: A Two-stage Examination Model for Web Search. CIKM (2014)
Ke Zhou, Ronan Cummins, Mounia Lalmas, Joemon M. Jose
Which vertical search engines are relevant? WWW (2013)
Ke Zhou, Mounia Lalmas, Tetsuya Sakai, Ronan Cummins, Joemon M. Jose
On the reliability and intuitiveness of aggregated search metrics. CIKM (2013)
Ke Zhou, Stewart Whiting, Joemon M. Jose, Mounia Lalmas
The Impact of Temporal Intent Variability on Diversity Evaluation. ECIR (2013)
Stewart Whiting, Ke Zhou, Joemon M. Jose, Mounia Lalmas
Temporal variance of intents in multi-faceted event-driven information needs. SIGIR (2013)
Stewart Whiting, Ke Zhou, Joemon M. Jose, Omar Alonso, Teerapong Leelanupab
CrowdTiles: presenting crowd-based information for event-driven information needs. CIKM (2012)
Ke Zhou, Ronan Cummins, Mounia Lalmas, Joemon M. Jose
Evaluating reward and risk for vertical selection. CIKM (2012)
Ke Zhou, Ronan Cummins, Martin Halvey, Mounia Lalmas, Joemon M. Jose
Assessing and Predicting Vertical Intent for Web Queries. ECIR (2012)
Ke Zhou, Ronan Cummins, Mounia Lalmas, Joemon M. Jose
Evaluating aggregated search pages. SIGIR (2012)