# WSDM — International Conference on Web Search and Data Mining

- **Submission deadline**: 2026-08-17
- **Notification date**: 2026-11-02
- **Conference date**: 2027-02-15
- **Location**: Hong Kong, China
- **Rankings**: CCF B · CORE A · QUALIS B1
- **Conference Partner Index**: 89.8/100 (ranked #66, confidence 1.00, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 319
- **Attendees**: 47
- **Canonical page**: https://www.myhuiban.com/conference/527

## Acceptance history

| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| 2023 | 690 | 123 | 17.8% |
| 2022 | 505 | 80 | 15.8% |
| 2021 | 603 | 112 | 18.6% |
| 2020 | 615 | 91 | 14.8% |
| 2019 | 511 | 84 | 16.4% |
| 2018 | 514 | 84 | 16.3% |
| 2017 | 505 | 80 | 15.8% |
| 2016 | 368 | 67 | 18.2% |
| 2015 | 238 | 39 | 16.4% |
| 2014 | 355 | 64 | 18% |

## Past editions

| Year | Deadline | Conference date | Location |
|---|---|---|---|
| 2026 | 2025-08-07 | 2026-02-22 | Boise, Idaho, USA |

## Call for papers

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.

## Related conferences

- The Web Conference — The ACM Web Conference — https://www.myhuiban.com/conference/137
- WEB — International Conference on Building and Exploring Web Based Environments — https://www.myhuiban.com/conference/3732
- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421
- IJCAI — International Joint Conference on Artificial Intelligence — https://www.myhuiban.com/conference/405
- ICASSP — International Conference on Acoustics, Speech and Signal Processing — https://www.myhuiban.com/conference/429

## Related journals

- Neurocomputing — https://www.myhuiban.com/journal/234
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Engineering Applications of Artificial Intelligence — https://www.myhuiban.com/journal/209
- World Wide Web — https://www.myhuiban.com/journal/122
- IEEE Transactions on Services Computing — https://www.myhuiban.com/journal/322

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Source: Conference Partner — https://www.myhuiban.com/conference/527 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)