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ORCID32nd WWW 2023: Austin, TX, USA - Companion Volume
- Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben:
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. ACM 2023, ISBN 978-1-4503-9419-2
Alternate track: Posters - Demos
- Di Luo
, Weiheng Liao, Rui Yan:
Lower Risks, Better Choices: Stock Correlation Based Portfolio Selection in Stock Markets. 1-4
Alternate track: Posters - Demos
- Lili Wang, Chenghan Huang, Xinyuan Cao, Weicheng Ma, Soroush Vosoughi:
Graph-Level Embedding for Time-Evolving Graphs. 5-8 - Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed:
A ML-based Approach for HTML-based Style Recommendation. 9-13 - Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park:
On Graph Time-Series Representations for Temporal Networks. 14-18 - Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao:
SpotLight: Visual Insight Recommendation. 19-23 - Grace Ciambrone, Shomir Wilson:
Creation and Analysis of a Corpus of Scam Emails Targeting Universities. 24-27 - Beliz Gunel, Sandeep Tata, Marc Najork:
STRUM: Extractive Aspect-Based Contrastive Summarization. 28-31 - Bin Lu, Lyuwen Wu, Lina Yang, Chenxing Sun, Wei Liu, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
DataExpo: A One-Stop Dataset Service for Open Science Research. 32-36 - Huajun Bai, Davide Liu, Thomas Hirtz, Alexandre Boulenger:
Expressive user embedding from churn and recommendation multi-task learning. 37-40 - Jiwon Hong, Sang-Wook Kim:
C-Affinity: A Novel Similarity Measure for Effective Data Clustering. 41-44 - Yacheng He, Qianghuai Jia, Lin Yuan, Ruopeng Li, Yixin Ou, Ningyu Zhang:
A Concept Knowledge Graph for User Next Intent Prediction at Alipay. 45-48 - Canwen Xu, Julian J. McAuley, Penghan Wang:
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. 49-52 - Shujun Wang, Yongqiang Tian, Dengcheng He:
gDoc: Automatic Generation of Structured API Documentation. 53-56 - Shujun Wang, Yongqiang Tian, Dengcheng He:
Reduce API Debugging Overhead via Knowledge Prepositioning. 57-60 - Jeewon Ahn, Hong-Kyun Bae, Sang-Wook Kim:
Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It's NOT. 61-64 - Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu:
Knowledge Distillation on Cross-Modal Adversarial Reprogramming for Data-Limited Attribute Inference. 65-68 - Kyunghwan Kim, Subin Park, Jaeil Hwang, Hyeonyoung Lee, Seokhyeon Kang, Kyungyong Lee:
Public Spot Instance Dataset Archive Service. 69-72 - Junaid Rashid, Jungeun Kim, Usman Naseem:
Incorporating Embedding to Topic Modeling for More Effective Short Text Analysis. 73-76 - Md Main Uddin Rony, Fan Du, Ryan A. Rossi, Jane Hoffswell, Niyati Chhaya, Iftikhar Ahamath Burhanuddin, Eunyee Koh:
Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making. 77-81 - Antonio Zaitoun, Tomer Sagi, Katja Hose:
OntoEval: an Automated Ontology Evaluation System. 82-85 - Felice Antonio Merra, Omar Zaidan, Fabricio de Sousa Nascimento:
Improving the Relevance of Product Search for Queries with Negations. 86-89 - Fan Huang, Haewoon Kwak, Jisun An:
Chain of Explanation: New Prompting Method to Generate Quality Natural Language Explanation for Implicit Hate Speech. 90-93 - Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Mahawaga Arachchige Pathum Chamikara, Chehara Pathmabandu, Minhui Xue:
Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution. 94-98 - Huan-Lin Tay, Wei-Jie Tay, Hady W. Lauw:
Multi-Lingual Multi-Partite Product Title Matching. 99-102 - Bingbing Xu, Bin Xie, Huawei Shen:
Towards Deeper Graph Neural Networks via Layer-Adaptive. 103-106 - Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky:
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. 107-110 - Bastián Inostroza, Raúl Cid, Aidan Hogan:
RDF Playground: An Online Tool for Learning about the Semantic Web. 111-114 - Chenxu Wang, Zhao Li, Xin Wang, Zirui Chen:
EnhancE: Enhanced Entity and Relation Embedding for Knowledge Hypergraph Link Prediction. 115-118 - Antoine Willerval, Angela Bonifati, Dennis Diefenbach:
qEndpoint: A Wikidata SPARQL endpoint on commodity hardware. 119-122 - Pierre Maillot, Olivier Corby, Catherine Faron, Fabien Gandon, Franck Michel:
Metadatamatic: A Web application to Create a Dataset Description. 123-126 - Xiaofeng Lu, Xiaoyu Zhang, Pietro Lió:
GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network. 127-131 - Nahyun Kwon, Hannah Kim, Sajjadur Rahman, Dan Zhang, Estevam Hruschka:
Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks. 132-135 - Alexander Brinkmann, Anna Primpeli, Christian Bizer:
The Web Data Commons Schema.org Data Set Series. 136-139 - Lucas Vogel, Thomas Springer:
How Streaming Can Improve the World (Wide Web). 140-143 - Shuyi Li, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng:
An Analogical Reasoning Method Based on Multi-task Learning with Relational Clustering. 144-147 - Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
Class Cardinality Comparison as a Fermi Problem. 148-151 - Francisca Suárez, Aidan Hogan:
Templet: A Collaborative System for Knowledge Graph Question Answering over Wikidata. 152-155 - Tobias Dam, Lukas Daniel Klausner, Sebastian Neumaier:
Towards a Critical Open-Source Software Database. 156-159 - Jiarui Zhang, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng:
Task-Specific Data Augmentation for Zero-shot and Few-shot Stance Detection. 160-163 - Anthony Shaw, Amin Beheshti:
Measuring Potential Performance Gains of Python Web Applications with pyUpgradeSim. 164-167 - Guopeng Zheng, Tenglong Ren, Lulu Yang, Xiaowang Zhang, Zhiyong Feng:
mStore: Schema Mining based-RDF Data Storage. 168-171 - Luca Righes, Mohammed Saeed, Gianluca Demartini, Paolo Papotti:
The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice? 172-175 - Shuang Li, Yaokun Liu, Xiaowang Zhang, Yuexian Hou, Zhiyong Feng:
Multi-interest Recommendation on Shopping for Others. 176-179 - Wafaa El Husseini, Cheikh Brahim El Vaigh, François Goasdoué, Hélène Jaudoin:
OptiRef: Query Optimization for Knowledge Bases. 180-183 - Minjie Yuan, Qiudan Li, Xue Mao, Daniel Dajun Zeng:
Identifying Topic and Cause for Sarcasm: An Unsupervised Knowledge-enhanced Prompt Method. 184-187 - Da Li, Masaki Sugihashi, Tadahiko Kumamoto, Yukiko Kawai:
A Cross-Media Retrieval System for Web-SNS-Map Using Suggested Keywords Generating and Ranking Method Based on Search Characteristics. 188-191 - Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng:
EasySpider: A No-Code Visual System for Crawling the Web. 192-195 - Zhenfeng Han, Sai Zhang, Xiaowang Zhang:
Persona Consistent Dialogue Generation via Contrastive Learning. 196-199 - Ziqiang Chen, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng:
TML: A Temporal-aware Multitask Learning Framework for Time-sensitive Question Answering. 200-203 - Florian Barbaro, Andy Skumanich:
Addressing socially destructive disinformation on the web with advanced AI tools: Russia as a case study. 204-207 - Dimitrios Panteleimon Giakatos, Pavlos Sermpezis, Athena Vakali:
PyPoll: A python library automating mining of networks, discussions and polarization on Twitter. 208-211 - Luis Galárraga, Daniel Hernández, Anas Katim, Katja Hose:
Visualizing How-Provenance Explanations for SPARQL Queries. 212-216 - Florian Nettersheim, Stephan Arlt, Michael Rademacher, Florian Dehling:
Katti: An Extensive and Scalable Tool for Website Analyses. 217-220 - Tirthankar Dasgupta, Manjira Sinha, Chundru Geetha Praveen:
Graph Induced Transformer Network for Detection of Politeness and Formality in Text. 221-224 - Maitry Chauhan, Anna Pyayt, Michael N. Gubanov:
Learning Topical Structured Interfaces from Medical Research Literature. 225-228 - Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Decision Model Fairness Assessment. 229-233 - Daniel Klug, Ella Steen, Kathryn Yurechko:
How Algorithm Awareness Impacts Algospeak Use on TikTok. 234-237 - Benjamín Del Pino, Aidan Hogan:
Wikidata Atlas: Putting Wikidata on the Map. 238-241 - Nadia Yacoubi Ayadi, Catherine Faron, Franck Michel, Fabien Gandon, Olivier Corby:
Computing and Visualizing Agro-Meteorological Parameters based on an Observational Weather Knowledge Graph. 242-245 - Juan Cano-Benito, Andrea Cimmino, Raúl García-Castro:
Injecting data into ODRL privacy policies dynamically with RDF mappings. 246-249 - Ahmad Alobaid, Jhon Toledo, Óscar Corcho, María Poveda-Villalón:
Depicting Vocabulary Summaries with Devos. 250-253 - Na Li, Yangjun Zhang, Zhiming Zhao:
CNSVRE: A Query Reformulated Search System with Explainable Summarization for Virtual Research Environment. 254-257 - Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Suzanne Tamang:
MediSage: An AI Assistant for Healthcare via Composition of Neural-Symbolic Reasoning Operators. 258-261 - Zijie J. Wang, Duen Horng Chau:
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. 262-266 - Siva Sahitya Simhadri, Tatiana R. Ringenberg:
Child Sexual Abuse Awareness and Support Seeking on Reddit: A thematic Analysis. 267-271 - Henrique S. Xavier:
Violentometer: measuring violence on the Web in real time. 272-275 - Myung-Hwan Jang, Jeong-Min Park, Ikhyeon Jo, Duck-Ho Bae, Sang-Wook Kim:
RealGraph+: A High-Performance Single-Machine-Based Graph Engine that Utilizes IO Bandwidth Effectively. 276-279 - Pantelitsa Leonidou, Nicolas Kourtellis, Nikos Salamanos, Michael Sirivianos:
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case. 280-289 - Jiyun Luo, Kurchi Subhra Hazra, Wenyu Huo, Rui Li, Abhijit Mahabal:
Personalized style recommendation via reinforcement learning. 290-293 - Fan Huang, Haewoon Kwak, Jisun An:
Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech. 294-297 - Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
Efficient Fair Graph Representation Learning Using a Multi-level Framework. 298-301 - Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu:
Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. 302-305 - Ryuta Yamaguchi, Panote Siriaraya, Tomoki Yoshihisa, Shinji Shimojo, Yukiko Kawai:
A Detection System for Comfortable Locations Based on Facial Expression Analysis While Riding Bicycles. 306-309 - Huan-Yuan Chen, Hong Yu:
Intent-based Web Page Summarization with Structure-Aware Chunking and Generative Language Models. 310-313 - Tugrulcan Elmas, Stephane Selim, Célia Houssiaux:
Measuring and Detecting Virality on Social Media: The Case of Twitter's Viral Tweets Topic. 314-317 - Ghazaleh Haratinezhad Torbati, Gerhard Weikum, Andrew Yates:
Search-based Recommendation: the Case for Difficult Predictions. 318-321 - Bingbing Xu, Yang Li, Qi Cao, Huawei Shen:
Simple Multi-view Can Bring Powerful Graph Neural Network. 322-325
Alternate Track: Industry
- Xiaofeng Zhu, Thomas Lin, Vishal Anand, Matthew Calderwood, Eric Clausen-Brown, Gord Lueck, Wen-wai Yim, Cheng Wu:
Explicit and Implicit Semantic Ranking Framework. 326-330 - Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash:
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace. 331-335 - Kai Wang, Jianzhi Shao, Tao Zhang, Qijin Chen, Chengfu Huo:
MPKGAC: Multimodal Product Attribute Completion in E-commerce. 336-340 - Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin:
Reweighting Clicks with Dwell Time in Recommendation. 341-345 - Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang:
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. 346-350 - Xinping Zhao, Ying Zhang, Qiang Xiao, Yuming Ren, Yingchun Yang:
Bootstrapping Contrastive Learning Enhanced Music Cold-Start Matching. 351-355 - Xiaoyang Zheng, Zilong Wang, Sen Li, Ke Xu, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng:
MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search. 356-360 - Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang:
Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. 361-365 - Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. 366-370 - Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. 371-375 - Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang:
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. 376-380 - Ben Chen, Linbo Jin, Xinxin Wang, Dehong Gao, Wen Jiang, Wei Ning:
Unified Vision-Language Representation Modeling for E-Commerce Same-style Products Retrieval. 381-385 - Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash:
Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace. 386-390 - Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda:
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. 391-395 - Akash Maharaj, Ritwik Sinha, David Arbour, Ian Waudby-Smith, Simon Z. Liu, Moumita Sinha, Raghavendra Addanki, Aaditya Ramdas, Manas Garg, Viswanathan Swaminathan:
Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. 396-400 - Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork:
Job Type Extraction for Service Businesses. 401-405 - Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai:
Disentangled Causal Embedding With Contrastive Learning For Recommender System. 406-410 - Binbin Wang, Mingming Li, Zhixiong Zeng, Jingwei Zhuo, Songlin Wang, Sulong Xu, Bo Long, Weipeng Yan:
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search. 411-415 - Chunyuan Yuan, Yiming Qiu, Mingming Li, Haiqing Hu, Songlin Wang, Sulong Xu:
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval. 416-420 - Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai:
Reinforcing User Retention in a Billion Scale Short Video Recommender System. 421-426 - Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen:
Latent User Intent Modeling for Sequential Recommenders. 427-431 - Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Jointly modeling products and resource pages for task-oriented recommendation. 432-436 - Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao:
Confidence Ranking for CTR Prediction. 437-441 - Jun Zhou, Meng Li, Lu Yu, Longfei Li, Fei Wu:
A Practical Rule Learning Framework for Risk Management. 442-446 - Jun Zhou, Caizhi Tang, Qing Cui, Yi Ding, Longfei Li, Fei Wu:
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. 447-451 - Sheng You, Chao Wang, Baohua Wu, Jingping Liu, Quan Lu, Guanzhou Han, Yanghua Xiao:
What Image do You Need? A Two-stage Framework for Image Selection in E-commerce. 452-456 - Saket Maheshwary, Saurabh Sohoney:
Learning Geolocation by Accurately Matching Customer Addresses via Graph based Active Learning. 457-463 - Wei Yuan, Martin Dimkovski, Aijun An:
Contrastive Fine-tuning on Few Shot Intent Detection with Topological Intent Tree. 464-468 - Sonali Singh, Sachin Farfade, Prakash Mandayam Comar:
Multi-Objective Ranking to Boost Navigational Suggestions in eCommerce AutoComplete. 469-474 - Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li:
A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. 475-479 - Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang:
Integrated Ranking for News Feed with Reinforcement Learning. 480-484 - Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu, Han Liu:
Meta-Generator Enhanced Multi-Domain Recommendation. 485-489 - Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang:
Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. 490-494 - C. H. Bryan Liu, Emma J. McCoy:
Measuring e-Commerce Metric Changes in Online Experiments. 495-499 - Prashan Wanigasekara, Rafid Al-Humaimidi, Turan Gojayev, Niloofar Gheissari, Achal Dave, Stephen Rawls, Fan Yang, Kechen Qin, Nalin Gupta, Spurthi Sandiri, Chevanthie Dissanayake, Zeynab Raeesy, Emre Barut, Chengwei Su:
Visual Item Selection With Voice Assistants: A systems perspective. 500-507 - Khushhall Chandra Mahajan, Amey Porobo Dharwadker, Romil Shah, Simeng Qu, Gaurav Bang, Brad Schumitsch:
PIE: Personalized Interest Exploration for Large-Scale Recommender Systems. 508-512 - Ameya Raul, Amey Porobo Dharwadker, Brad Schumitsch:
CAM2: Conformity-Aware Multi-Task Ranking Model for Large-Scale Recommender Systems. 513-517 - Khushhall Chandra Mahajan, Aditya Palnitkar, Ameya Raul, Brad Schumitsch:
CAViaR: Context Aware Video Recommendations. 518-522 - Jun Zhou, Chilin Fu, Xiaolu Zhang:
Multi-Source Domain Adaptation via Latent Domain Reconstruction. 523-527 - Shuyi Niu, Jiawei Jin, Xiutian Huang, Yonggeng Wang, Wenhao Xu, Youyong Kong:
Locating Faulty Applications via Semantic and Topology Estimation. 528-532 - Yaxian Xia, Yi Cao, Sihao Hu, Tong Liu, Lingling Lu:
Deep Intention-Aware Network for Click-Through Rate Prediction. 533-537 - Jian Dong, Yisong Yu, Yapeng Zhang, Yimin Lv, Shuli Wang, Beihong Jin, Yongkang Wang, Xingxing Wang, Dong Wang:
A Deep Behavior Path Matching Network for Click-Through Rate Prediction. 538-542
Alternate Track: Web Developer and W3C
- Michel Buffa, Antoine Vidal-Mazuy:
WAM-studio, a Digital Audio Workstation (DAW) for the Web. 543-548 - Thomas Steiner:
The Capable Web. 549-554
Alternate Track: PhD Symposium
- Victoria Firsanova:
Towards Building a Mobile App for People on the Spectrum. 555-559 - Markus Reiter-Haas:
Exploration of Framing Biases in Polarized Online Content Consumption. 560-564 - Gian Marco Bovenzi:
MetaCrimes: Criminal accountability for conducts in the Metaverse. 565-567 - Asara Senaratne:
SEKA: Seeking Knowledge Graph Anomalies. 568-572 - Yuhe Bai:
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings. 573-577 - Sean P. Rogers, Jeremiah Onaolapo:
Human Dimensions of Animal Exploitation: Towards Understanding the International Wildlife Trade and Selfie-Tourism on Twitter. 578-580 - Vahid Ashrafimoghari:
Detecting Cross-Lingual Information Gaps in Wikipedia. 581-585 - Riya Naik:
Multi-turn mediated solutions for Conversational Artificial Intelligent systems leveraging graph-based techniques. 586-590 - Emyn Dean:
A Bridge over the Troll: Non-Complementary Activism Online. 591-593 - Muhieddine Shebaro, Jelena Tesic:
Identifying Stable States of Large Signed Graphs. 594-597
Special Track: The Creative Web
- Shihong Ren, Michel Buffa, Laurent Pottier, Yang Yu, Gerwin Schalk:
Reflex-in: Generate Music on the Web with Real-time Brain Wave. 598-600
Special Track: History of the Web
- Naif Mehanna, Walter Rudametkin:
Caught in the Game: On the History and Evolution of Web Browser Gaming. 601-609 - Brenda Reyes Ayala:
Those who are left behind: A chronicle of internet access in Cuba. 610-614 - Denny Vrandecic, Lydia Pintscher, Markus Krötzsch:
Wikidata: The Making Of. 615-624 - Siddharth D. Jaiswal, Animesh Mukherjee:
A History of Diversity in The Web (Conference). 625-632 - Elise Blanchard:
Why are Hyperlinks Blue?: A deep dive into browser hyperlink color history. 633-641 - Steven Pemberton:
The One Hundred Year Web. 642
Alternate Track: Tutorials
- Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. 648-658
Alternate Track: Workshops
- Femke Ongenae, Riccardo Tommasini:
Workshops at the Web Conference 2023. 659
Workshop: 2nd International Workshop on Multisensory Data and Knowledge (MDK)
- Marieke van Erp, Raphaël Troncy, Valentina Presutti, Albert Meroño-Peñuela, Sara Tonelli, Enrico Daga:
2nd International Workshop on Multisensory Data and Knowledge (MDK). 660 - Simona Corciulo, Livio Bioglio, Valerio Basile, Viviana Patti, Rossana Damiano:
The DEEP Sensorium: a multidimensional approach to sensory domain labelling. 661-668 - Yi Shao, Jiande Sun, Ye Jiang, Jing Li:
Dual-grained Text-Image Olfactory Matching Model with Mutual Promotion Stages. 669-677
Workshop: Beyond Facts: 3d International Workshop on Knowledge Graphs for Online Discourse Analysis
- Konstantin Todorov, Pavlos Fafalios, Dimitar Dimitrov, Stefan Dietze:
BeyondFacts'23: 3rd International Workshop on Knowledge Graphs for Online Discourse Analysis. 678 - Dheeman Saha, Md Rashidul Hasan, Abdullah Mueen:
Followers Tell Who an Influencer Is. 679-687 - Youri Peskine, Raphaël Troncy, Paolo Papotti:
Analyzing COVID-Related Social Discourse on Twitter using Emotion, Sentiment, Political Bias, Stance, Veracity and Conspiracy Theories. 688-693 - Nicolas Stefanovitch, Guillaume Jacquet, Bertrand De Longueville:
Graph and Embedding based Approach for Text Clustering: Topic Detection in a Large Multilingual Public Consultation. 694-700
Workshop: 9th WebAndTheCity -The Web and Smart Cities
- Leonidas G. Anthopoulos, Marijn Janssen, Vishanth Weerakkody:
WebAndTheCity'23: 9th International Workshop on The Web and Smart Cities. 701 - Asteria Tsapadikou, Leonidas G. Anthopoulos:
Smart Cities as Hubs: a use case from Biotechnology. 702-706 - Bryan Rickens, Navid Hashemi Tonekaboni:
Towards High Resolution Urban Heat Analysis: Incorporating Thermal Drones to Enhance Satellite Based Urban Heatmaps. 707-714 - Ramesh Gorantla, Srividya Bansal:
Towards a Sustainability Index Calculator for Smart Cities. 715-722
Workshop: The First International Workshop on Knowledge Graphs for Sustainability - KG4S
- Eva Blomqvist, María Poveda-Villalón, Raúl García-Castro, Pascal Hitzler, Mikael Lindecrantz:
The First International Workshop on Knowledge Graphs for Sustainability - KG4S Foreword. 723 - Darío Garigliotti, Johannes Bjerva, Finn Årup Nielsen, Annika Butzbach, Ivar Lyhne, Lone Kørnøv, Katja Hose:
Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true. 724-730 - Huanyu Li, Mina Abd Nikooie Pour, Ying Li, Mikael Lindecrantz, Eva Blomqvist, Patrick Lambrix:
A Survey of General Ontologies for the Cross-Industry Domain of Circular Economy. 731-741 - Yinglun Zhang, Antonina Broyaka, Jude Kastens, Allen M. Featherstone, Cogan Shimizu, Pascal Hitzler, Hande Küçük-McGinty:
Sustainable Grain Transportation in Ukraine Amidst War Utilizing KNARM and KnowWhereGraph. 742-745
Workshop: 2nd Workshop on Personalization and Recommendations in Search (PARIS)
- Sudarshan Lamkhede, Anlei Dong, Moumita Bhattacharya, Hongning Wang:
Personalization and Recommendations in Search. 746 - Ramprabhu Murugesan, Anuja Sharan:
Personalised Search in E-Comm Groceries. 747-750 - Ehsan Ebrahimzadeh, Alex Cozzi, Abraham Bagherjeiran:
Intent-Aware Propensity Estimation via Click Pattern Stratification. 751-755 - Vito Ostuni, Christoph Kofler, Manjesh Nilange, Sudarshan Lamkhede, Dan Zylberglejd:
Search Personalization at Netflix. 756-758
Workshop: Machine Learning for Streaming Media
- Sudarshan Lamkhede, Praveen Chandar, Vladan Radosavljevic, Amit Goyal, Lan Luo:
Machine Learning for Streaming Media. 759 - Christos G. Bampis, Li-Heng Chen, Zhi Li:
Improving Netflix Video Quality with Neural Networks. 760 - Bhargav Upadhyay, Tejas Khairnar, Anup Kotalwar:
Improve retrieval of regional titles in streaming services with dense retrieval. 761-767 - Christian Siagian, Amina Shabbeer:
Entity and Event Topic Extraction from Podcast Episode Title and Description Using Entity Linking. 768-772 - Mohit Agarwal, Srijan Saket, Rishabh Mehrotra:
MEMER - Multimodal Encoder for Multi-signal Early-stage Recommendations. 773-777 - Qicai Shi, Feng Xiao, Douglas Pickard, Inga Chen, Liang Chen:
Deep Neural Network with LinUCB: A Contextual Bandit Approach for Personalized Recommendation. 778-782
Workshop: 3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023)
- Angelo Antonio Salatino, Yi Bu, Ying Ding, Ágnes Horvát, Yong Huang, Meijun Liu, Paolo Manghi, Andrea Mannocci, Francesco Osborne, Daniel M. Romero, Dimitris Sacharidis, Misha Teplitskiy, Thanasis Vergoulis, Feng Xia, Yujia Zhai:
3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023). 783 - Eoghan Cunningham, Derek Greene:
Graph Embedding for Mapping Interdisciplinary Research Networks. 784-789 - Huimin Xu, Chitrank Gupta, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Y. Chen, Ying Ding:
Cross-Team Collaboration and Diversity in the Bridge2AI Project. 790-794 - Roelien C. Timmer, Megan Mark, Fech Scen Khoo, Marcella Scoczynski Ribeiro Martins, Anamaria Berea, Gregory Renard, Kaylin M. Bugbee:
NASA Science Mission Directorate Knowledge Graph Discovery. 795-799 - Bartal Eyðfinsson Veyhe, Tomer Sagi, Katja Hose:
Scientific Data Extraction from Oceanographic Papers. 800-804 - Ahmed E. Samy, Zekarias T. Kefato, Sarunas Girdzijauskas:
Graph2Feat: Inductive Link Prediction via Knowledge Distillation. 805-812 - Aashay Singhal, Kamalakar Karlapalem:
hp-frac: An index to determine Awarded Researchers. 813-819 - Muhammad Amith, Licong Cui, Kirk Roberts, Cui Tao:
Application of an ontology for model cards to generate computable artifacts for linking machine learning information from biomedical research. 820-825 - Kacy Adams, Fernando Spadea, Conor Flynn, Oshani Seneviratne:
Assessing Scientific Contributions in Data Sharing Spaces. 826-833 - Aman Ahuja, Kevin Dinh, Brian Dinh, William A. Ingram, Edward A. Fox:
A New Annotation Method and Dataset for Layout Analysis of Long Documents. 834-842 - M. Besher Massri, Blerina Spahiu, Marko Grobelnik, Vladimir Alexiev, Matteo Palmonari, Dumitru Roman:
Towards InnoGraph: A Knowledge Graph for AI Innovation. 843-849
Workshop: The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom)
- Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis:
The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). 850-853 - Hitkul Jangra, Abinaya K, Soham Saha, Satyajit Banerjee, Muthusamy Chelliah, Ponnurangam Kumaraguru:
Social Re-Identification Assisted RTO Detection for E-Commerce. 854-858 - Vinay Rao Dandin, Ozan Ersoy, Kyung Hyuk Kim:
Deep Passage Retrieval in E-Commerce. 859-863 - Haoming Chen, Yetian Chen, Jingjing Meng, Yang Jiao, Yikai Ni, Yan Gao, Michinari Momma, Yi Sun:
Improving Product Search with Season-Aware Query-Product Semantic Similarity. 864-868 - Hamed R. Bonab, Ashutosh Joshi, Ravi Bhatia, Ankit Gandhi, Vijay Huddar, Juhi Naik, Mutasem Al-Darabsah, Choon Hui Teo, Jonathan May, Tarun Agarwal, Vaclav Petricek:
Blend and Match: Distilling Semantic Search Models with Different Inductive Biases and Model Architectures. 869-877 - Shu-Ting Pi, Cheng-Ping Hsieh, Qun Liu, Yuying Zhu:
Universal Model in Online Customer Service. 878-885 - Harshita Sahijwani, Kaustubh D. Dhole, Ankur P. Purwar, Venugopal Vasudevan, Eugene Agichtein:
Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research. 886-891 - Jesus Perez-Martin, Jorge Gomez-Robles, Asier Gutiérrez-Fandiño, Pankaj Adsul, Sravanthi Rajanala, Leonardo Lezcano:
Cross-lingual Search for e-Commerce based on Query Translatability and Mixed-Domain Fine-Tuning. 892-898 - Da Xu, Bo Yang:
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? 899-910 - Shahla Farzana, Qunzhi Zhou, Petar Ristoski:
Knowledge Graph-Enhanced Neural Query Rewriting. 911-919
Workshop: Workshop on Decision Making for Information Retrieval and Recommender Systems
- Da Xu, Tobias Schnabel, Xiquan Cui, Sarah Dean, Aniket Anand Deshmukh, Bo Yang, Shipeng Yu:
Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems. 920 - Nan Bi, Bai Li, Ruoyuan Gao, Graham Edge, Sachin Ahuja:
Interleaved Online Testing in Large-Scale Systems. 921-926 - Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying:
Fairness-aware Differentially Private Collaborative Filtering. 927-931 - Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf:
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. 932-939 - Guoxi Zhang, Xing Yao, Xuanji Xiao:
On Modeling Long-Term User Engagement from Stochastic Feedback. 940-944 - Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta:
Promoting Inactive Members in Edge-Building Marketplace. 945-949 - Claudia V. Roberts, Ehtsham Elahi, Ashok Chandrashekar:
CLIME: Completeness-Constrained LIME. 950-958 - Sarah Boufelja Yacobi, Djallel Bouneffouf:
Robust Stochastic Multi-Armed Bandits with Historical Data. 959-965 - Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen:
Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. 966-972 - Guangyu Yang, Efrem Ghebreab, Jiaxi Xu, Xianen Qiu, Yiping Yuan, Wensheng Sun:
DeepPvisit: A Deep Survival Model for Notification Management. 973-977 - Shiyong Lin, Yiping Yuan, Carol Jin, Yi Pan:
Skill Graph Construction From Semantic Understanding. 978-982 - Chuanwei Ruan, Allan Stewart, Han Li, Ryan Ye, David Vengerov, Haixun Wang:
Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart. 983-987
Workshop: International Workshop on Digital Twins for Smart Health
- Jun Deng, Ying Ding, Luke Achenie, Jinwei Liu, Shimei Pan, Sanjay Purushotham, Huanmei Wu, Qi Wang:
International Workshop on Digital Twins for Smart Health. 988 - James Jensen, Jun Deng:
Digital Twins for Radiation Oncology. 989-993
Workshop: The 11th International Workshop on Natural Language Processing for Social Media (SocialNLP 2023)
- Cheng-Te Li, Lun-Wei Ku:
SocialNLP'23: 11th International Workshop on Natural Language Processing for Social Media. 994 - Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. 995-1003 - Neha Reddy Bogireddy, Smriti Suresh, Sunny Rai:
I'm out of breath from laughing! I think? A dataset of COVID-19 Humor and its toxic variants. 1004-1013 - Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky:
LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models. 1014-1019 - Xintian Li, Aron Culotta:
Forecasting COVID-19 Vaccination Rates using Social Media Data. 1020-1029 - Zhiwei Zhou, Erick Elejalde:
Stance Inference in Twitter through Graph Convolutional Collaborative Filtering Networks with Minimal Supervision. 1030-1038 - Jack Tacchi, Chiara Boldrini, Andrea Passarella, Marco Conti:
Cultural Differences in Signed Ego Networks on Twitter: An Investigatory Analysis. 1039-1049 - Arnav Aggarwal, Sunny Rai, Salvatore Giorgi, Shreya Havaldar, Garrick Sherman, Juhi Mittal, Sharath Chandra Guntuku:
A Cross-Modal Study of Pain Across Communities in the United States. 1050-1058 - Noushin Salek Faramarzi, Fateme Hashemi Chaleshtori, Hossein Shirazi, Indrakshi Ray, Ritwik Banerjee:
Claim Extraction and Dynamic Stance Detection in COVID-19 Tweets. 1059-1068 - Yingying Zhuang, Jiecheng Song, Narayanan Sadagopan, Anurag Beniwal:
Self-supervised Pre-training and Semi-supervised Learning for Extractive Dialog Summarization. 1069-1076
Workshop: The 2nd International Cryptoasset Analytics Workshop (CAAW)
- Bernhard Haslhofer, Friedhelm Victor, Markus Strohmaier, Jiahua Xu:
CAAW'23: The 2nd International Cryptoasset Analytics Workshop. 1077 - Zhiguo He, Jiasun Li, Zhengxun Wu:
Don't Trust, Verify: The Case of Slashing from a Popular Ethereum Explorer. 1078-1084 - Thomas Charest, Masarah Paquet-Clouston:
An Exploration on Cryptocurrency Corporations' Fiscal Opportunities. 1085-1092 - Federico Cernera, Massimo La Morgia, Alessandro Mei, Alberto Maria Mongardini, Francesco Sassi:
Ready, Aim, Snipe! Analysis of Sniper Bots and their Impact on the DeFi Ecosystem. 1093-1102 - Danial Saef, Yuanrong Wang, Tomaso Aste:
Regime-based Implied Stochastic Volatility Model for Crypto Option Pricing. 1103-1110
Workshop: NLP4KGC: Natural Language Processing for Knowledge Graph Construction
- Edlira Vakaj, Sanju Tiwari, Nandana Mihindukulasooriya, Fernando Ortiz-Rodríguez, Ryan McGranaghan:
NLP4KGC: Natural Language Processing for Knowledge Graph Construction. 1111 - Eason Chen, Niall Roche, Yuen-Hsien Tseng, Walter Hernández, Jiangbo Shangguan, Alastair Moore:
Conversion of Legal Agreements into Smart Legal Contracts using NLP. 1112-1118 - Yang Peng:
Query-Driven Knowledge Graph Construction using Question Answering and Multimodal Fusion. 1119-1126 - Antonio Zaitoun, Tomer Sagi, Katja Hose:
Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus. 1127-1137 - Dhaval Taunk, Lakshya Khanna, Siri Venkata Pavan Kumar Kandru, Vasudeva Varma, Charu Sharma, Makarand Tapaswi:
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering. 1138-1144 - Stephan Linzbach, Tim Tressel, Laura Kallmeyer, Stefan Dietze, Hajira Jabeen:
Decoding Prompt Syntax: Analysing its Impact on Knowledge Retrieval in Large Language Models. 1145-1149
Workshop: 1st Workshop on Federated Learning Technologies
- Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King:
1st Workshop on Federated Learning Technologies. 1150 - Yao Chen, Shan Huang, Wensheng Gan, Gengsen Huang, Yongdong Wu:
Federated Learning for Metaverse: A Survey. 1151-1160 - Sumam Francis, Kanimozhi Uma, Marie-Francine Moens:
Understanding the Impact of Label Skewness and Optimization on Federated Learning for Text Classification. 1161-1166 - Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. 1167-1176 - Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió:
A Federated Learning Benchmark for Drug-Target Interaction. 1177-1181
Workshop: 13th Temporal Web Analytics Workshop (TempWeb)
- Marc Spaniol, Ricardo Baeza-Yates, Omar Alonso:
13th Temporal Web Analytics Workshop (TempWeb) Overview. 1182 - Peter Schulam, Ion Muslea:
Improving the Exploration/Exploitation Trade-Off in Web Content Discovery. 1183-1189 - Ke Li, Zhiwen Yu, Ying Zhang, Bin Guo:
Impact of COVID-19 Pandemic on Cultural Products Interests. 1190-1195 - Farnoosh Hashemi, Ali Behrouz, Milad Rezaei Hajidehi:
CS-TGN: Community Search via Temporal Graph Neural Networks. 1196-1203 - Behrooz Mansouri, Ricardo Campos, Adam Jatowt:
Towards Timeline Generation with Abstract Meaning Representation. 1204-1207 - Brenda Reyes Ayala:
Gone, Gone, but Not Really, and Gone, But Not forgotten: A Typology of Website Recoverability. 1208-1213 - Keeley Erhardt, Dina Albassam:
Detecting the Hidden Dynamics of Networked Actors Using Temporal Correlations. 1214-1217 - Alessia Antelmi, Gennaro Cordasco, Daniele De Vinco, Carmine Spagnuolo:
The Age of Snippet Programming: Toward Understanding Developer Communities in Stack Overflow and Reddit. 1218-1224 - Aparna S. Varde, Gerard de Melo, Boxiang Dong:
Temporal Ordinance Mining for Event-Driven Social Media Reaction Analytics. 1225-1227
Workshop: The Third Workshop on Financial Technology on the Web (FinWeb)
- Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen:
Financial Technology on the Web. 1228 - Mengjie Wu, Maofu Liu, Luyao Wang, Huijun Hu:
A Chinese Fine-grained Financial Event Extraction Dataset. 1229-1235 - Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat-Seng Chua:
SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs. 1236-1244 - Salvatore Vilella, Arthur Thomas Edward Capozzi Lupi, Giancarlo Ruffo, Marco Fornasiero, Dario Moncalvo, Valeria Ricci, Silvia Ronchiadin:
Exploiting graph metrics to detect anomalies in cross-country money transfer temporal networks. 1245-1248 - Nikhil E, Anshul Padhi, Pulkit Parikh, Swati Kanwal, Kamalakar Karlapalem, Natraj Raman:
Aspect-based Summarization of Legal Case Files using Sentence Classification. 1249-1252 - James Y. Zhang, Zhi Li, Hao Fang, Jun Wu, Zhongnan Shen, Jing Zheng, Wei Chu, Weiping Duan, Peng Xu:
China's First Natural Language-based AI ChatBot Trader. 1253-1256
Workshop: The 3rd International Workshop on Deep Learning for the Web of Things
- Cheng Shi, Chin-Chen Chang, Eyhab Al-Masri, Abel C. H. Chen, Haishuai Wang, Qichun Zhang, Hsiao-Ting Tseng, K. Shankar, Taehong Kim:
The 3rd International Workshop on Deep Learning for the Web of Things. 1257 - Junlong Chen, Jiangtian Nie, Minrui Xu, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Yongju Tong, Wenchao Jiang:
Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses. 1258-1265 - Wensheng Gan, Zhenqiang Ye, Shicheng Wan, Philip S. Yu:
Web 3.0: The Future of Internet. 1266-1275 - Tingfu Zhou, Zhenlian Qi, Wensheng Gan, Shicheng Wan, Guoting Chen:
Weighted Statistically Significant Pattern Mining. 1276-1285 - Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku:
DSNet: Efficient Lightweight Model for Video Salient Object Detection for IoT and WoT Applications. 1286-1295 - Riyan Yang, Lin Li, Wensheng Gan, Zefeng Chen, Zhenlian Qi:
The Human-Centric Metaverse: A Survey. 1296-1306
Workshop: Fourth International Workshop on Cyber Social Threats (CySoc 2023)
- Ugur Kursuncu, Kai-Cheng Yang, Francesco Pierri, Matthew R. DeVerna, Yelena Mejova, Jeremy Blackburn:
CySoc 2023: 4th International Workshop on Cyber Social Threats. 1307 - Ahmad Diab, Bolor-Erdene Jagdagdorj, Lynnette Hui Xian Ng, Yu-Ru Lin, Michael Miller Yoder:
Online to Offline Crossover of White Supremacist Propaganda. 1308-1316 - Valerio La Gatta, Chiyu Wei, Luca Luceri, Francesco Pierri, Emilio Ferrara:
Retrieving false claims on Twitter during the Russia-Ukraine conflict. 1317-1323 - Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt:
Can Deepfakes be created on a whim? 1324-1334 - Pantelitsa Leonidou, Nicolas Kourtellis, Nikos Salamanos, Michael Sirivianos:
Privacy-Preserving Online Content Moderation with Federated Learning. 1335-1338 - Jason Niu, Ahmet Erdem Sariyüce:
On Cohesively Polarized Communities in Signed Networks. 1339-1347 - Jinkyung Park, Joshua Gracie, Ashwaq Alsoubai, Gianluca Stringhini, Vivek K. Singh, Pamela J. Wisniewski:
Towards Automated Detection of Risky Images Shared by Youth on Social Media. 1348-1357 - Samar Haider, Luca Luceri, Ashok Deb, Adam Badawy, Nanyun Peng, Emilio Ferrara:
Detecting Social Media Manipulation in Low-Resource Languages. 1358-1364 - Xiao Ling, David Yan, Bilal Alsallakh, Ashutosh Pandey, Manan Bakshi, Pamela Bhattacharya:
Learned Temporal Aggregations for Fraud Classification on E-Commerce Platforms. 1365-1372 - Le Nguyen, Nidhi Rastogi:
Graph-based Approach for Studying Spread of Radical Online Sentiment. 1373-1380 - Zhen Guo, Pei Wang, Jin-Hee Cho, Lifu Huang:
Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned. 1381-1388 - Billy Spann, Nitin Agarwal, David Stafford, Obianuju Okeke:
Evaluating the Emergence of Collective Identity using Socio-Computational Techniques. 1389-1394 - Manuel Pratelli, Marinella Petrocchi, Fabio Saracco, Rocco De Nicola:
Swinging in the States: Does disinformation on Twitter mirror the US presidential election system? 1395-1403 - Tugrulcan Elmas:
Analyzing Activity and Suspension Patterns of Twitter Bots Attacking Turkish Twitter Trends by a Longitudinal Dataset. 1404-1412 - Zain A. Halloush, Ahmed Aleroud, Craig Albert:
Socio-Emotional Computational Analysis of Propaganda Campaigns on Social Media Users in the Middle East. 1413-1421
Workshop: Trusting Decentralised Knowledge Graphs and Web Data (TrusDeKW)
- John Domingue, Aisling Third, Maria-Esther Vidal, Philipp D. Rohde, Juan Cano, Andrea Cimmino, Ruben Verborgh:
Trusting Decentralised Knowledge Graphs and Web Data at the Web Conference. 1422-1423 - Fabian Kirstein, Anton Altenbernd, Sonja Schimmler, Manfred Hauswirth:
A Decentralised Persistent Identification Layer for DCAT Datasets. 1424-1427 - Andrea Cimmino, Juan Cano-Benito, Raúl García-Castro:
Practical challenges of ODRL and potential courses of action. 1428-1431 - Aisling Third, John Domingue:
Decency and Decentralisation: Verifiable Decentralised Knowledge Graph Querying. 1432-1434 - Audrey Ekuban, John Domingue:
Towards Decentralised Learning Analytics (Positioning Paper). 1435-1438
Workshop: First workshop on Semantics in Dataspaces (SDS 2023)
- Johannes Theissen-Lipp, Stefan Decker, Edward Curry:
The First International Workshop on Semantics in Dataspaces. 1439 - Sascha Meckler, Rene Dorsch, Daniel Henselmann, Andreas Harth:
The Web and Linked Data as a Solid Foundation for Dataspaces. 1440-1446 - Hendrik Meyer zum Felde, Maarten Kollenstart, Thomas Bellebaum, Simon Dalmolen, Gerd Brost:
Extending Actor Models in Data Spaces. 1447-1451 - Danh Le Phuoc, Sonja Schimmler, Anh Le-Tuan, Uwe A. Kuehn, Manfred Hauswirth:
Towards a Decentralized Data Hub and Query System for Federated Dynamic Data Spaces. 1452-1457 - Viivi Lähteenoja:
What are "personal data spaces"? 1458-1461 - Zeyd Boukhers, Christoph Lange, Oya Beyan:
Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective. 1462-1467 - Andy Donald, Apostolos Galanopoulos, Edward Curry, Emir Muñoz, Ihsan Ullah, M. A. Waskow, Maciej Dabrowski, Manan Kalra:
Towards a Semantic Approach for Linked Dataspace, Model and Data Cards. 1468-1473 - Alexander Paulus, André Pomp, Tobias Meisen:
The PLASMA Framework: Laying the Path to Domain-Specific Semantics in Dataspaces. 1474-1479 - Mehrshad Jaberansary, Macedo Maia, Yeliz Ucer Yediel, Oya Beyan, Toralf Kirsten:
Analyzing Distributed Medical Data in FAIR Data Spaces. 1480-1484 - Rohit A. Deshmukh, Sisay Adugna Chala, Christoph Lange:
Requirements and Building Blocks for Manufacturing Dataspaces. 1485-1493 - Atiya Usmani, Muhammad Jaleed Khan, John G. Breslin, Edward Curry:
Towards Multimodal Knowledge Graphs for Data Spaces. 1494-1499 - André Pomp, Maike Jansen, Holger Berg, Tobias Meisen:
SPACE_DS: Towards a Circular Economy Data Space. 1500-1501 - Tristan Langer, André Pomp, Tobias Meisen:
Towards a Data Space for Interoperability of Analytic Provenance. 1502-1503 - Johannes Theissen-Lipp, Max Kocher, Christoph Lange, Stefan Decker, Alexander Paulus, André Pomp, Edward Curry:
Semantics in Dataspaces: Origin and Future Directions. 1504-1507
Co-Located Event: Provenance Week
- Sara Moshtaghi Largani, Seokki Lee:
Efficient Sampling for Big Provenance. 1508-1511 - Stefan Grafberger, Paul Groth, Sebastian Schelter:
Provenance Tracking for End-to-End Machine Learning Pipelines. 1512 - Nikolaus Nova Parulian, Bertram Ludäscher:
Trust the Process: Analyzing Prospective Provenance for Data Cleaning. 1513-1523 - Tanja Auge, Gunnar Bali, Meike Klettke, Bertram Ludäscher, Wolfgang Söldner, Simon Weishäupl, Tilo Wettig:
Provenance for Lattice QCD workflows. 1524-1530 - Luc Moreau, Nicola Hogan, Nick O'Donnell:
Implementing an Environmental Management System Using Provenance-By-Design. 1531-1541 - Débora B. Pina, Adriane Chapman, Daniel de Oliveira, Marta Mattoso:
Deep Learning Provenance Data Integration: a Practical Approach. 1542-1550 - Kerstin Gierend, Judith A. H. Wodke, Sascha Genehr, Robert Gött, Ron Henkel, Frank Krüger, Markus Mandalka, Lea Michaelis, Alexander Scheuerlein, Max Schröder, Atinkut Zeleke, Dagmar Waltemath:
TAPP: Defining standard provenance information for clinical research data and workflows - Obstacles and opportunities. 1551-1554 - Tanja Auge:
ProSA: A provenance system for reproducing query results. 1555-1558 - Seokki Lee, Boris Glavic, Adriane Chapman, Bertram Ludäscher:
Hybrid Query and Instance Explanations and Repairs. 1559-1562 - Saulo A. Almeida, Gilberto Gil F. Gomes Passos, Valquire da S. de Jesus, Sérgio Manuel Serra da Cruz, Jorge Zavaleta:
Providing Data on Financial Results of Public Companies Enriched with Provenance for OBInvest. 1563 - Aniket Modi, Moaz Reyad, Tanu Malik, Ashish Gehani:
Querying Container Provenance. 1564-1567
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