中国计算机学会推荐国际学术会议和期刊目录自2010年8月首次发布以来，已历经五版，得到了计算机领域科研工作者的广泛关注。
目录共包含十个领域，分为ABC三类：A类是国际上极少数顶会与顶刊；B类代表领域内高水平的会议与期刊；C类指国际上重要的、为学术界所认可的优秀会议和期刊。
►►►IMC 2024
The 2024 Internet Measurement Conference (IMC) is a three-day event focusing on Internet measurement and analysis. The conference is sponsored by ACM SIGCOMM. IMC 2024 is the 24th in a series of highly successful Internet Measurement Workshops and Conferences.
所属领域：计算机网络
CCF分级：B类
时间地点：2024年11月4日-马德里（西班牙）
截稿时间：2024年5月8日
大会征文
IMC takes a broad view of contributions that are considered in scope for improving the practice of network measurement, including, but not limited to:
collection and analysis of data that yield new insights about network structure and network performance (e.g., traffic, topology, routing, energy utilization, performance)
collection and analysis of data that yield new insights about application and end-user behavior (e.g., economics, privacy, security, application interaction with protocols)
measurement-based modeling (e.g., workloads, scaling behavior, assessment of performance bottlenecks, causality)
methods and tools to monitor and visualize network-based phenomena
systems and algorithms that build on measurement-based findings
theoretical analysis and modeling of networked-systems and measurement techniques
novel methods for data collection, analysis, and storage (e.g., anonymization, querying, sharing)
reappraisal of previous empirical network measurements and measurement-based conclusions
descriptions of challenges and future directions the measurement community should pursue
Networks of interest include:
Internet transit networks
edge networks, including home networks, broadband access networks (e.g., cable, fiber), and cellular networks
data center networks and cloud computing infrastructure
peer-to-peer, overlay, and content distribution networks
software-defined networks
online social networks
online services, platforms, and content providers
experimental networks, prototype networks, and future internetworks
►►►CIKM 2024
The Conference on Information and Knowledge Management (CIKM) provides an international forum for presentation and discussion of research on information and knowledge management, as well as recent advances on data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high quality, applied and theoretical research findings. An important part of the conference is the Workshops program which focuses on timely research challenges and initiatives. CIKM has a strong tradition of workshops devoted to emerging areas of database management, IR, and related fields.
所属领域：数据库/数据挖掘/内容检索
CCF分级：B类
时间地点：2024年8月26日-博伊西（美国）
截稿时间：2024年5月13日
大会征文
Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling)
Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, data lake, privacy and security, modeling, information credibility)
Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware)
Special data processing (e.g., multilingual text, sequential, stream, time series, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data)
Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection, and tracking, understanding, and interpretability)
Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction)
Data preparation, Valuation, and Trading
Information access and retrieval (e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender, and filtering systems)
Users and interfaces for information systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces)
Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices)
Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices)
Mining multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations)
Data presentation (e.g., visualization, summarization, readability, VR, speech input/output)
Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media)
Knowledge graphs support data representation and manipulation
Generation of knowledge graphs using unstructured data
Information retrieval in the era of LLMs
Open-ended QA systems
Fairness, Accountability, Transparency, Ethics, and Explainability in Information and Knowledge Management
