ACM International Conference on Information and Knowledge Management (2022)
Workshops
- Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022 43 papers
- Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022 13 papers
Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022
A Child-Friendly Approach to Spoken Conversational Search
Thomas Beelen
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Khiet P. Truong
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Roeland Ordelman
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Ella Velner
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Vanessa Evers
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Theo Huibers
A human-ML collaboration framework for improving video content reviews
Meghana Deodhar
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Xiao Ma
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Yixin Cai
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Alex Koes
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Alex Beutel
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Jilin Chen
Adaptive Re-Ranking as an Information-Seeking Agent
Sean MacAvaney
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Nicola Tonellotto
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Craig Macdonald
Bias mitigation in recommender systems to improve diversity
Du Cheng
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Doruk Kilitçioglu
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Serdar Kadioglu
Conversational Information Retrieval using Knowledge Graphs
Pruthvi Raj Venkatesh
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K. Chaitanya
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Rishu Kumar
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P. Radha Krishna
Creating a framework for a Benchmark Religion Dataset
Deepa Muralidhar
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Ashwin Ashok
Deepfake Audio Detection Via Feature Engineering And Machine Learning
Farkhund Iqbal
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Ahmed Abbasi
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Abdul Rehman Javed
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Zunera Jalil
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Jamal Al-Karaki
Developing a noise-aware AI system for change risk assessment with minimal human intervention
Subhadip Paul
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Anirban Chatterjee
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Binay Gupta
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Kunal Banerjee
Diversity enhancement for collaborative filtering recommendation
Yankai Liu
Estimating The MBTI Of Twitter Accounts With Graph Neural Networks Over Neo4j
Georgios Drakopoulos
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Eleanna Kafeza
EvalRS: a rounded evaluation of recommender systems
Jacopo Tagliabue
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Federico Bianchi
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Tobias Schnabel
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Giuseppe Attanasio
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Ciro Greco
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Gabriel de Souza P. Moreira
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Patrick John Chia
Explainability for Misinformation in Financial Statements
Sushodhan Vaishampayan
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Akshada Shinde
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Aditi Pawde
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Sachin Pawar
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Manoj Apte
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Girish Keshav Palshikar
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations
Shea Cardozo
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Gabriel Islas Montero
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Dmitry Kazhdan
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Botty Dimanov
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Maleakhi A. Wijaya
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Mateja Jamnik
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Pietro Liò
Explaining Convolutional Neural Networks by Tagging Filters
Anna Nguyen
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Daniel Hagenmayer
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Tobias Weller
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Michael Färber
Extreme Learning Machines For Efficient Speech Emotion Estimation In Julia
Georgios Drakopoulos
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Phivos Mylonas
Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design
Ali Behrouz
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Mathias Lécuyer
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Cynthia Rudin
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Mango I. Seltzer
Finding components of a good accuracy with XAI!
Benjamin Chamand
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Olivier Risser-Maroix
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
Kameswara Bharadwaj Mantha
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Ramanakumar Sankar
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Yuping Zheng
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Lucy Fortson
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Thomas Pengo
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Douglas Mashek
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Mark Sanders
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Trace Christensen
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Jeffrey Salisbury
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Laura Trouille
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Jarrett E. K. Byrnes
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Isaac Rosenthal
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Henry Houskeeper
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Kyle Cavanaugh
Globally local and fast explanations of t-SNE-like nonlinear embeddings
Pierre Lambert
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Rebecca Marion
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Julien Albert
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Emmanuel Jean
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Sacha Corbugy
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Cyril de Bodt
Graph Neural Networks For Affective Social Media: A Comprehensive Overview
Michail Karavokyris
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Spyros Sioutas
HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation Team
Brendan Coon
Human-AI Collaboration for Improving the Identification of Cars for Autonomous Driving
Edwin Gamboa
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Alejandro Libreros
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Matthias Hirth
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Dan Dubiner
Human-Robot Interactions Using Affective Computing
Anthony Tzes
Interpretability in Activation Space Analysis of Transformers: A Focused Survey
Soniya Vijayakumar
Item-based variational auto-encoder for fair music recommendation
Jinhyeok Park
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Dain Kim
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Dongwoo Kim
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
Baihan Lin
Offensive text detection across languages and datasets using rule-based and hybrid methods
Kinga Gémes
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Ádám Kovács
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Gábor Recski
Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors
Shiqui Liu
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Dickson K. W. Chiu
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Kevin K. W. Ho
Privacy Amplification for Episodic Training Methods
Vandy Tombs
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Olivera Kotevska
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Steven Young
Privacy and transparency in graph machine learning: A unified perspective
Megha Kosla
Privacy policy robustness to reverse engineering
A. Gilad Kusne
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Olivera Kotevska
RecFormer: personalized temporal-aware transformer for fair music recommendation
Wei-Yao Wang
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Wei-Wei Du
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Wen-Chih Peng
STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods
Kyunghee Kim
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Minha Kim
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Simon Woo
Shortcomings of Interpretability Taxonomies for Deep Neural Networks
Anders Søgaard
Towards A Real-Time Emergency Response Model For Connected And Autonomous Vehicles
Yen-Hung Liu
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Otávio de Paula Albuquerque
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Patrick C. K. Hung
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Hossam A. Gabbar
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Marcelo Fantinato
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Farkhund Iqbal
Towards Mixed-Initiative Conversational Information Seeking
Hamed Zamani
Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts
Tabish Ahmed
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Sahan Bulathwela
Towards a theoretical formalization of conversational recommendation
Tommaso Di Noia
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Francesco Maria Donini
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Dietmar Jannach
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Fedelucio Narducci
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Claudio Pomo
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
Wei-Wei Du
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Wei-Yao Wang
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Wen-Chih Peng
Triplet losses-based matrix factorization for robust recommendations
Flavio Giobergia
Want robust explanations? Get smoother predictions first
Deddy Jobson
k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality
Devvrat Joshi
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Janvi Thakkar
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022
A Two-Phased Approach to Training Data Generation for Shopping Query Intent Prediction
Gautam Kumar
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Chikara Hashimoto
Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction
Yingyi Zhang
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Xianneng Li
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Yahe Yu
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Jian Tang
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Huanfang Deng
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Junya Lu
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Yeyin Zhang
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Qiancheng Jiang
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Yunsen Xian
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Liqian Yu
Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation
Qian Yu
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Xiangdong Wu
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Chen Yang
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Zihao Zhao
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Haoxin Liu
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Chaosheng Fan
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Changping Peng
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Zhangang Lin
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Jinghe Hu
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Jingping Shao
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction
Tesi Xiao
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Xia Xiao
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Ming Chen
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Youlong Chen
LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents
Debanjan Mahata
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Navneet Agarwal
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Dibya Gautam
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Amardeep Kumar
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Swapnil Parekh
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Yaman Kumar Singla
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Anish Acharya
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Rajiv Ratn Shah
Partial Relaxed Optimal Transport for Denoised Recommendation
Yanchao Tan
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Carl Yang
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Xiangyu Wei
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Ziyue Wu
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Weiming Liu
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Xiaolin Zheng
Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning
Osayande P. Omondiagbe
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Sherlock A. Licorish
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Stephen G. MacDonell
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews
Vito Walter Anelli
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Yashar Deldjoo
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Tommaso Di Noia
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Eugenio Di Sciascio
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Antonio Ferrara
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Daniele Malitesta
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Claudio Pomo
Session-based Recommendation with Dual Graph Networks
Tajuddeen Rabiu Gwadabe
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Mohammed Ali Mohammed Al-Hababi
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Ying Liu
Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services
Shaochuan Lin
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Yicong Yu
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Xiyu Ji
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Taotao Zhou
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Hengxu He
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Zisen Sang
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Jia Jia
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Guodong Cao
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Ning Hu
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li
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Wei Shen
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Denis Charles
Twice - Twitter Content Embeddings
Xianjing Liu
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Behzad Golshan
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Kenny Leung
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Aman Saini
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Vivek Kulkarni
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Ali Mollahosseini
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Jeff Mo