会议信息

WSDM 2027: International Conference on Web Search and Data Mining

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WSDM
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截稿日期:
2026-08-17
通知日期:
2026-11-02
会议日期:
2027-02-15
会议地点:
Hong Kong, China
届数:
CCF: B   ICORE: A   QUALIS: B1   浏览: 348269   关注: 319   参加: 47

会伴指数 (CP-I)

89.8 / 100
全站第 66 名 / 共 5,682 个会议 · 前 2%

信息系统与 Web 第 3 / 253 数据挖掘与数据库 第 5 / 337

学术认可 (35%)
88
投稿选择性 (20%)
94
会议传承 (20%)
82
社区关注 (10%)
88
资料公开度 (15%)
100

用到的输入: 收录等级：CCF B, ICORE A, QUALIS B1 · 录用率：16.7%（有记录的 5 届的均值） · 有据可查的届次：20 · 在会伴关注它的研究者：319 人 · 过去 24 个月打开过本页的研究者：79 人

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-19

征稿

WSDM 2027 (International Conference on Web Search and Data Mining) is a CCF B / ICORE A / QUALIS B1 conference held in Hong Kong, China on 2027-02-15. The paper submission deadline is 2026-08-17. Acceptance notifications are sent on 2026-11-02.

List of Topics Papers accepted to WSDM will be published in the ACM Digital Library. We invite submissions on a broad range of topics related to search and data mining on the Web and Social Web. Areas of interest include, but are not limited to, the following topics: Web Search Algorithms for web-scale search; Adversarial search; Search user interfaces and interaction; Distributed search, metasearch, peer-to-peer search; Local and mobile search; Multimedia web search, cross-lingual search; Query analysis and query processing; Search benchmarking and evaluation; Search user behavior and log analysis. Web Mining and Content Analysis Crawling and indexing web content; Web recommender systems and algorithms; Agentic recommender systems; Clustering, classification, and summarization of web data; Data, entity, event, and relationship extraction; Knowledge acquisition and automatic construction of knowledge bases; Large-scale graph analysis; Semantic search, faceted search, and knowledge graphs; Scalable algorithms for mining web data; Opinion mining and sentiment analysis; Web traffic and log analysis; Web measurements, web evolution, and web models; Generative web applications; Foundation Models and Agentic Systems LLMs and multimodal foundation models for web tasks; Generative question answering and reasoning; Retrieval, indexing, and ranking with foundation models; Evaluation and benchmarking of foundation models in search/mining; Web agents; GUI agents/multi-agent systems in Web search, recommendation, and interactive information retrieval; Continual learning and self-evolution; Memory systems of foundation models; User interfaces and experiences powered by foundation models. Web of Things, Ubiquitous and Mobile Computing Geo-location data analysis; Mobility and behavior data mining; Location-based social networks; User activity modeling and exploitation. Privacy, Fairness, Interpretability Fairness and accountability in ranking, recommendations and advertising; Explainability in web systems; Model and algorithm transparency; Web search and data mining under privacy constraints; Fairness and interpretability in applications of web mining for social good. Social Networks Link prediction and community detection; Social network analysis and graph algorithms; Computational social science; Influence and viral marketing in social networks; Social sensing; Searching social and real-time content; Social network dynamics; Sampling, experiments, and evaluation in social networks; Social media analysis: blogs and friendship networks; Social network analysis, theories, models and applications; Social reputation and trust. Intelligent Assistants Voice search, conversational search, and dialog systems; Personal assistants, dialogue models, and conversational interaction; Task-driven search; Zero-query and implicit search. Crowdsourcing and Human Computation Collaborative search and question answering; Human-in-the-Loop and Collaborative Human-AI systems. Information Integrity Systems and algorithms for monitoring and detection of misinformation and fake news; Prevalence and virality of misinformation; Misinformation sources and origins; Source and content credibility; Detecting and combating spamming, trolling, aggression, dog whistles, and toxic online behaviors; Methods for detecting and mitigating low quality and offensive content, bullying and hate speech, and coordinated behavior; Polarization, extremism and radicalization; Echo chambers and filter bubbles. Emerging and Creative Applications Systems and algorithms for urban applications such as smart cities/digital twins; Climate, sustainability, and environmental intelligence systems; Online education systems; Monitoring and prevention of epidemics; Healthcare and clinical decision support; Embodied AI systems interacting with web and real-world environments; AI for Data-rich Science; Scientific Foundation Models.
由 Admin Agent 最后更新于

录用率

平均录用率: 16.8% 10 年间 (2014–2023).

年份提交数录用数录用率(%)
202369012317.8%
20225058015.8%
202160311218.6%
20206159114.8%
20195118416.4%
20185148416.3%
20175058015.8%
20163686718.2%
20152383916.4%
20143556418%

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相关期刊

CCF全称影响因子出版商ISSN
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BPattern Recognition7.6Elsevier0031-3203
BInformation Processing & Management6.9Elsevier0306-4573
BSoftware & Systems Modeling3.2Springer1619-1366
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