ACM信息和知识管理会议(CIKM)是信息检索、数据库和知识管理领域的重要国际会议。CIKM自1992年起每年举办一次，吸引了来自产业界和学术界的顶尖人才，其目标是促进合作，弥合数据库、信息检索和知识管理领域的学术-商业差距。

第29届ACM信息与知识管理国际会议(CIKM2020)将于2020年10月19日至23日在爱尔兰戈尔韦（Galway, Ireland）举行。

会议征集包括Full and Short Research Papers，Applied Research Papers，Workshop Proposals，Tutorial Proposals在内的多类论文，每类论文征集主题与重要时间点如下：

Call for Papers – Full and Short Research Papers

2020 Theme:

Data and knowledge for the next generation: sustainability, transparency and fairness

下一代的数据和知识：可持续性、透明度和公平性。

Topics of interest：

• Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy, data wrangling) 数据和信息获取和预处理

• Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modelling) 集成和聚合

• Infrastructures (e.g., cloud computing, data-intensive computing, database systems, indexing and compression, search engine architectures, distributed systems) 基础设施

• Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, graph, multimedia, scientific, and social media data) 特殊数据处理

• Multi-modal data and knowledge processing (e.g., natural language processing, speech recognition, computer vision, knowledge graphs) 多模态数据和知识处理

• Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms,      event detection and tracking, deep neural networks, deep learning) 分析和机器学习

• Information access and retrieval (e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) 信息访问和检索

• Data presentation (e.g., visualization, summarization, readability, understandability, VR, speech input and output) 数据展示

• Users and interfaces for information and data systems (e.g., user behaviour analysis, user interface design,  personalization, interactive information retrieval, interactive analysis, spoken interfaces) 信息、数据系统的用户和接口

• Crowdsourcing (e.g. task assignment, worker reliability, optimisation, trustworthiness, best practices) 众包

• Comparative evaluation, performance studies and  benchmarks (e.g., online and offline evaluation, best practices) 比较评价、性能研究和标准

Important Dates:

Call for Applied Research Papers

The Applied Research Track aims at attracting submissions from both industry and academia that either solve or advance the understanding of issues related to deploying AI, IR and big data technologies as part of actual applications.

应用研究的目的是吸引来自行业和学术界的提交，解决或促进对与部署AI、IR和大数据技术作为实际应用的一部分相关的问题的理解。

The Applied Research Track is distinct from the Research Track in that submissions focus on applied work describing the implementation of a system that solves a significant real-world problem and demonstrates application benefits as well as impact. Submissions must clearly describe how their work has been deployed and for how long.

应用研究领域与研究领域的不同之处在于，提交的报告侧重于描述系统实现的应用工作，该系统解决了一个重要的现实问题，并展示了应用的好处和影响。提交的文件必须清楚地描述他们的工作是如何进行的，以及进行了多长时间。

Topics of Interest:

• Business Intelligence (e.g., Advertising and E-commerce, Finance, Marketing and Crowds, Recommender systems) 商业智能

• Social Networks and Social Good (e.g., Crowdsourcing, Network sciences, Social media and publishing, Social sciences, User modeling, Web mining) 社交网络和社会公益

• Healthcare and Bioinformatics (e.g., Clinical Decision Support,  Clinical Research, Healthcare and Caregiving, Patient Empowerment, Genomic applications) 医疗保健和生物信息学

• Computing Infrastructures (e.g., Big Data infrastructures Cloud，Map-Reduce, MPI, Data protection, Design of experiments, Interpretable models, Large-scale optimization, Scalable algorithms) 计算基础设施

• Emerging Applications (e.g., AI in Education, Internet of  Things, Cyber Security, Intelligent Transportation) 新兴应用

Important dates:

Call for Workshop Proposals

We look for prospective submissions of highly interactive full-/half-day workshops proposing novel research, deepening established research topics or presenting practical applications on the many aspects of the data lifecycle (data acquisition, preprocessing, modeling, integration/aggregation, storage, analysis and consumption).

我们希望能在全天/半天的研讨会中，提出新颖的研究、深化已建立的研究主题或在数据生命周期的许多方面(数据获取、预处理、建模、集成/聚合、存储、分析和使用)展示实际应用。

Workshops bringing communities around the CIKM2020’s special theme of sustainability, transparency and fairness are particularly welcome. Interdisciplinary workshops bridging across different communities are also highly encouraged.

特别欢迎围绕可持续、透明和公平这一主题举办研讨会，跨学科研讨会也受到高度鼓励。

Important Dates:

Call for Tutorial Proposals

CIKM 2020 will host tutorials covering topics of interest for the CIKM community, which include information and knowledge management. Half-day and full-day tutorials that are of interest for the research community will take place before the main conference, on 19-20.10.2020. Tutorial attendees will pay a separate registration fee to cover the facility costs.

CIKM 2020将主办涵盖CIKM社区感兴趣的主题的教程，其中包括信息和知识管理。研究社区感兴趣的半天和全天的教程将在主要会议之前，即2020年10月19日至20日举行。参加辅导班的学员将支付单独的注册费来支付设备费用。

We encourage proposals for both half- and full-day tutorials from active researchers and experienced tutors. Ideally, a tutorial is on a specific topic of interest and will provide a self-contained overview of a topic and then cover the state of the art research and developments on the topic of interest. The general areas include, databases, information retrieval, knowledge management, and other topics of relevance for the CIKM community.

我们鼓励积极的研究人员和有经验的导师提供半天和全天的辅导课。理想情况下，教程是关于感兴趣的特定主题的，并将提供一个自包含的主题概述，然后涵盖感兴趣的主题的最新研究和开发情况。一般领域包括数据库、信息检索、知识管理和CIKM社区相关的其他主题。

Important Dates:

具体报名、提交要求见官网。

https://cikm2020.org/call-for-papers-full-and-short-research-papers/