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ACM International Conference on Information and Knowledge Management (2022)


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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

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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

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A Child-Friendly Approach to Spoken Conversational Search
Thomas Beelen | Khiet P. Truong | Roeland Ordelman | Ella Velner | Vanessa Evers | Theo Huibers

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A human-ML collaboration framework for improving video content reviews
Meghana Deodhar | Xiao Ma | Yixin Cai | Alex Koes | Alex Beutel | Jilin Chen

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Adaptive Re-Ranking as an Information-Seeking Agent
Sean MacAvaney | Nicola Tonellotto | Craig Macdonald

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Bias mitigation in recommender systems to improve diversity
Du Cheng | Doruk Kilitçioglu | Serdar Kadioglu

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Conversational Information Retrieval using Knowledge Graphs
Pruthvi Raj Venkatesh | K. Chaitanya | Rishu Kumar | P. Radha Krishna

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Creating a framework for a Benchmark Religion Dataset
Deepa Muralidhar | Ashwin Ashok

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Deepfake Audio Detection Via Feature Engineering And Machine Learning
Farkhund Iqbal | Ahmed Abbasi | Abdul Rehman Javed | Zunera Jalil | Jamal Al-Karaki

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Developing a noise-aware AI system for change risk assessment with minimal human intervention
Subhadip Paul | Anirban Chatterjee | Binay Gupta | Kunal Banerjee

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Diversity enhancement for collaborative filtering recommendation
Yankai Liu

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Estimating The MBTI Of Twitter Accounts With Graph Neural Networks Over Neo4j
Georgios Drakopoulos | Eleanna Kafeza

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EvalRS: a rounded evaluation of recommender systems
Jacopo Tagliabue | Federico Bianchi | Tobias Schnabel | Giuseppe Attanasio | Ciro Greco | Gabriel de Souza P. Moreira | Patrick John Chia

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Explainability for Misinformation in Financial Statements
Sushodhan Vaishampayan | Akshada Shinde | Aditi Pawde | Sachin Pawar | Manoj Apte | Girish Keshav Palshikar

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Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations
Shea Cardozo | Gabriel Islas Montero | Dmitry Kazhdan | Botty Dimanov | Maleakhi A. Wijaya | Mateja Jamnik | Pietro Liò

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Explaining Convolutional Neural Networks by Tagging Filters
Anna Nguyen | Daniel Hagenmayer | Tobias Weller | Michael Färber

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Extreme Learning Machines For Efficient Speech Emotion Estimation In Julia
Georgios Drakopoulos | Phivos Mylonas

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Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design
Ali Behrouz | Mathias Lécuyer | Cynthia Rudin | Mango I. Seltzer

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Finding components of a good accuracy with XAI!
Benjamin Chamand | Olivier Risser-Maroix

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From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
Kameswara Bharadwaj Mantha | Ramanakumar Sankar | Yuping Zheng | Lucy Fortson | Thomas Pengo | Douglas Mashek | Mark Sanders | Trace Christensen | Jeffrey Salisbury | Laura Trouille | Jarrett E. K. Byrnes | Isaac Rosenthal | Henry Houskeeper | Kyle Cavanaugh

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Globally local and fast explanations of t-SNE-like nonlinear embeddings
Pierre Lambert | Rebecca Marion | Julien Albert | Emmanuel Jean | Sacha Corbugy | Cyril de Bodt

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Graph Neural Networks For Affective Social Media: A Comprehensive Overview
Michail Karavokyris | Spyros Sioutas

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HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation Team
Brendan Coon

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Human-AI Collaboration for Improving the Identification of Cars for Autonomous Driving
Edwin Gamboa | Alejandro Libreros | Matthias Hirth | Dan Dubiner

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Human-Robot Interactions Using Affective Computing
Anthony Tzes

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Interpretability in Activation Space Analysis of Transformers: A Focused Survey
Soniya Vijayakumar

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Item-based variational auto-encoder for fair music recommendation
Jinhyeok Park | Dain Kim | Dongwoo Kim

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Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
Baihan Lin

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Offensive text detection across languages and datasets using rule-based and hybrid methods
Kinga Gémes | Ádám Kovács | Gábor Recski

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Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors
Shiqui Liu | Dickson K. W. Chiu | Kevin K. W. Ho

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Privacy Amplification for Episodic Training Methods
Vandy Tombs | Olivera Kotevska | Steven Young

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Privacy and transparency in graph machine learning: A unified perspective
Megha Kosla

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Privacy policy robustness to reverse engineering
A. Gilad Kusne | Olivera Kotevska

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RecFormer: personalized temporal-aware transformer for fair music recommendation
Wei-Yao Wang | Wei-Wei Du | Wen-Chih Peng

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STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods
Kyunghee Kim | Minha Kim | Simon Woo

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Shortcomings of Interpretability Taxonomies for Deep Neural Networks
Anders Søgaard

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Towards A Real-Time Emergency Response Model For Connected And Autonomous Vehicles
Yen-Hung Liu | Otávio de Paula Albuquerque | Patrick C. K. Hung | Hossam A. Gabbar | Marcelo Fantinato | Farkhund Iqbal

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Towards Mixed-Initiative Conversational Information Seeking
Hamed Zamani

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Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts
Tabish Ahmed | Sahan Bulathwela

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Towards a theoretical formalization of conversational recommendation
Tommaso Di Noia | Francesco Maria Donini | Dietmar Jannach | Fedelucio Narducci | Claudio Pomo

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Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
Wei-Wei Du | Wei-Yao Wang | Wen-Chih Peng

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Triplet losses-based matrix factorization for robust recommendations
Flavio Giobergia

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Want robust explanations? Get smoother predictions first
Deddy Jobson

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k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality
Devvrat Joshi | Janvi Thakkar


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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

dblp
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

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A Two-Phased Approach to Training Data Generation for Shopping Query Intent Prediction
Gautam Kumar | Chikara Hashimoto

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Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction
Yingyi Zhang | Xianneng Li | Yahe Yu | Jian Tang | Huanfang Deng | Junya Lu | Yeyin Zhang | Qiancheng Jiang | Yunsen Xian | Liqian Yu

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Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation
Qian Yu | Xiangdong Wu | Chen Yang | Zihao Zhao | Haoxin Liu | Chaosheng Fan | Changping Peng | Zhangang Lin | Jinghe Hu | Jingping Shao

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Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction
Tesi Xiao | Xia Xiao | Ming Chen | Youlong Chen

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LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents
Debanjan Mahata | Navneet Agarwal | Dibya Gautam | Amardeep Kumar | Swapnil Parekh | Yaman Kumar Singla | Anish Acharya | Rajiv Ratn Shah

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Partial Relaxed Optimal Transport for Denoised Recommendation
Yanchao Tan | Carl Yang | Xiangyu Wei | Ziyue Wu | Weiming Liu | Xiaolin Zheng

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Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning
Osayande P. Omondiagbe | Sherlock A. Licorish | Stephen G. MacDonell

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Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews
Vito Walter Anelli | Yashar Deldjoo | Tommaso Di Noia | Eugenio Di Sciascio | Antonio Ferrara | Daniele Malitesta | Claudio Pomo

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Session-based Recommendation with Dual Graph Networks
Tajuddeen Rabiu Gwadabe | Mohammed Ali Mohammed Al-Hababi | Ying Liu

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Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services
Shaochuan Lin | Yicong Yu | Xiyu Ji | Taotao Zhou | Hengxu He | Zisen Sang | Jia Jia | Guodong Cao | Ning Hu

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TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li | Wei Shen | Denis Charles

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Twice - Twitter Content Embeddings
Xianjing Liu | Behzad Golshan | Kenny Leung | Aman Saini | Vivek Kulkarni | Ali Mollahosseini | Jeff Mo