All KDD content is available to registered attendees through September 22, 2020 on both our conference virtual platform (VFairs) and the Whova platform/app. KDD Cup 2020 KDD Cup is the annual Data Mining and Knowledge Discovery competition organized by ACM Special Interest Group on Knowledge Discovery and Data Mining, the leading professional organization of data scientists. All competitions are scheduled to start in March-April 2020. GENERAL ACCESS INSTRUCTIONS for our Virtual Event. Please continue to enjoy the videos on demand that you missed during the live event! This track has two tasks: Task 1 and Task 2. NOTE: Attendees based in Mainland China may need a VPN to view the pre-recorded session content. Research Best Paper Runner-up The paper will be presented on Tuesday August 25, 10:00am-12:00pm. Keywords: graph representation learning, graph-structured data, graph embeddings, AutoML, Reinforcement Learning Competition Track (RL Track). KDD 2020 Recognizes Winning Teams of 24th Annual KDD CupPR NewswireSAN DIEGO, Sept. 29, 2020Across Four Competition Tracks, KDD Cup 2020 Tackled E-Commerce, Generative Adversarial Networks, Automatic Graph Representation Learning, Automated Machine Learning, Mobility-on-Demand (MoD) Platforms and Reinforcement Research Best Student Paper Award Please use your login to access this content. These solutions will be evaluated with five unseen datasets without human intervention, and the winners will be chosen based on the final rankings of the datasets. Finally, each submission will be evaluated on the testing dataset, which evaluates the correspondence between the retrieved products and the ground truth. Please, acknowledge this fact and follow the announcements. In the AutoML Track “Automatic Graph Representation Learning (AutoGraph)”, provided by 4Paradigm, ChaLearn, Stanford University and Google, participants are invited to deploy AutoML solutions for graph representation learning, where node classification is chosen as the task to evaluate the quality of learned representations. We'll be updating the website as information becomes available. It should be prepared and saved at the backend of the competition system. Please continue to enjoy the videos on demand that you missed during the live event! The learned representation can be then used to compute the similarity score between the representations and select the images/videos that are related to the text. We anticipate an ACM/KDD YouTube channel to be published sometime in October. May 20th, 2020 - Announcement of the KDD Cup Winner ; SIGKDD-2020 will take place in San Diego. (Presentation time: Tuesday August 25 1:30-3:30PM, Poster Time: Tuesday August 25 6:00-7:00PM). You can access the platform at, Whova self-guided virtual conference platform as in earlier KDD conferences complete with conference content. The winners will be honored at the KDD conference opening ceremony and will present their solutions at the KDD Cup workshop during the conference. Typically, an internet speed of 5-10mbps will suffice. The dataset consists of Taobao search queries and product image features, which is organized into a query-based multimodal … Background. Total rewards exceeding 120K will be given to the winners and leaders of the competitions this year. Check your internet speed at. Then, all teams are required to submit an attacker and a defender. August 23 -27, 2020 Specifically, the competition looks at how machine learning solutions can be applied to improve the efficiency of MoD platform. The RL Track “Learning to Dispatch and Reposition on a Mobility-on-Demand Platform”, sponsored by Didi Chuxing in collaboration with DiDi AI Labs, the largest ridesharing platform in the world, requires participants to apply machine learning tools to determine novel solutions for order dispatching (order matching) and vehicle repositioning (fleet management) on a Mobility-on-Demand (MoD) platform. 812 TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations Virtual Conference. All KDD content is available to registered attendees through September 22, 2020 on both our conference virtual platform (VFairs) and the Whova platform/app. 1733 On Sampled Metrics for Item Recommendation Please enter the word you see in the image below: Create your schedule in the Whova app (instructions will be, Applied Data Science Track Program Committee, https://whova.com/portal/webapp/kdd_202008/, https://www.youtube.com/watch?v=hEjYxUdYgSs, VFairs platform with virtual reality effects blends the spatial with the virtual. Thank you! The team name you pick will be further used in all announcements, press-releases, and the award ceremony, in case your team comes up with a winning solution. Members: Kai Zuo, Chao Ma, Dongshuai Li, Zuo Cao, Xing Xu. Keywords: generative adversarial networks (GANs), graph-structured data, graph embeddings, Automated Machine Learning Competition Track (AutoML Track). We look forward to meeting you virtually and building our friendships for the years to come. Please enter the word you see in the image below: Applied Data Science Track Program Committee, Regular Machine Learning Competition Track (ML Track 1), Call for Research Papers to be published in a magazine issue (coming soon). Please, address your questions and inquiries to the competition hosts via channels of communication established by them (contacts, moderators, discussion boards, etc.). NOTE that due to ACM Intellectual Property regulations, content that was submitted to or captured during KDD 2020 will not be available for general use for approximately a month. Time：2020-10-14. The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. Whova is available as a mobile app or as a web app from your computer at. Keywords: learning representations, transfer learning, image, video, and text processing, Regular Machine Learning Competition Track (ML Track 2). Research Best Paper Award You enter the lobby and find yourself in the middle of the action with sponsor booths, meeting spaces, and conference halls. KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall Team: MTDP_CVA. You can register your team on each competition platform only once. KDD Cup is the annual Data Mining and Knowledge Discovery competition organized by ACM Special Interest Group on Knowledge Discovery and Data Mining, the leading professional organization of data scientists. In the second Regular Track, “Adversarial Attacks and Defense on Academic Graph”, sponsored by BienData, requires participants to submit a modified version of the original dataset as a form of attack that should look similar to the original graph, but has lower classification accuracy under baseline models. KDD Cup is the annual Data Mining and Knowledge Discovery competition organized by … Held by ACM SIGKDD, KDD cup has been held once a year since 1997. In 2020, due to the growing popularity of different data science competitions types, we decided to continue last year’s tradition with opening 3 competition tracks. This demonstration video shows you the virtual interface for KDD 2020. Five feedback datasets are provided to allow participants to evaluate their solutions. Walid Krichene: Google; Steffen Rendle: Google We will reach out to you daily through our newsletter and website with latest information, highlights of the program, any schedule updates, and answers to frequent questions. The organizers will match all attackers and defenders from all teams and rank the final leaderboard. Registration is available throughout the conference. If you have a question that requires immediate attention, please feel free to contact us. Mengdi Huai: University of Virginia; Jianhui Sun: University of Virginia; Renqin Cai: University of Virginia; Liuyi Yao: University of New York at Buffalo; Aidong Zhang: University of Virginia Keywords: reinforcement learning, mobility-on-demand, vehicle repositioning, The rules of the competitions are set by the competition hosts – this fact must be acknowledged by contestants entering the competition. 1. Look for updates here! (Published: Tue, September 08, 2020) - View All Updates. ACM SIGKDDACM SIGKDD Conference on knowledge discovery and data mining is the top international conference in the field of data mining in the world. The competition is open to both business and academic … KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place Topics kddcup kdd kdd2020 multimodal recommender-system e-commerce. Read ICC Under-19 World Cup 2020 Match Highlights News … Learn more about how to participate, join the conversation, and meet your peers. Please use your login to access this content. 535 Malicious Attacks against Deep Reinforcement Learning Interpretations If you have a question that requires immediate attention, please feel free to contact us. It is also one of the most influential competitions in the field of data mining. In ML Track 1 “Challenges for Modern E-Commerce Platform, sponsored by Alibaba, Alibaba DAMO Academy, Duke University, Tsinghua University, and UIUC, participants are invited to learn high-quality cross-modal representations by considering complex information of different types and the strong connection between modalities. Follow the links and look for the updates from our competition hosts. All KDD content is available to registered attendees through September 22, 2020 on both our conference virtual platform (VFairs) and the Whova platform/app. Temporal-Contextual Recommendation in Real-Time by Yifei Ma, Murali Balakrishnan Narayanaswamy, Haibin Lin and Hao Ding from Amazon. KDD Conference and KDD Cup are adopting to ongoing pandemic situation which can entail some changes to the ways we held this event over the years. Ang Li: Duke University; Yixiao Duan: Beihang University; Huanrui Yang: Duke University; Yiran Chen: Duke University; Jianlei Yang: Beihang University Ensure your location has a stable internet connection, this will avoid the virtual meeting lagging out. Therefore, please choose the name for your team wisely during the registration process. The community for data mining, data science and analytics, Copyrights © 2020 All Rights Reserved - SIGKDD, ACM SIGKDD 2020 Awards Call for Nominations, 2020 SIGKDD Doctoral Dissertation Award - Call for Nominations, Whose papers are accepted the most: towards measuring the impact of research institutions, Predict funding requests that deserve an A+, Identify which authors correspond to the same person, Determine whether an author has written a given paper, Predict the click-through rate of ads given the query and user information, Predict which users (or information sources) one user might follow in Tencent Weibo, Predict music ratings and identify favorite songs, Pulmonary embolisms detection from image data, Internet user search query categorization, Particle physics; plus protein homology prediction, BioMed document; plus gene role classification, Molecular bioactivity; plus protein locale prediction, Online retailer website clickstream analysis, Direct marketing for lift curve optimization.
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