WSDM 2017 - Tenth ACM International Conference on Web Search and Data Mining

WSDM is a highly selective, single track meeting that includes invited talks as well as refereed full papers.
WSDM publishes original, high-quality papers related to search and data mining on the Web and the Social Web, with an emphasis on practical yet principled novel models of search and data mining, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance.
Papers emphasizing novel algorithmic approaches are particularly encouraged. Application-oriented papers that make innovative technical contributions to research are welcome. Visionary papers on new and emerging topics are also welcome.
Topics covered include but are not limited to:
Web Search
Web dynamics and search
Multifaceted and task-driven search
Multimedia Web search
Security and privacy in Web search and mining
User interfaces and interaction
User modeling
Personalized search and ranking
Distributed, meta, and peer-to-peer search
Vertical portals and search
Search quality benchmarking and evaluation
Search result ranking
Search assistance
Search on mobile devices
Searching social and real-time content
Algorithms and systems for Web-scale search
Sponsored search and computational advertising
Audio interfaces to search
Web Mining
Web measurements, Web evolution, Web models
Clustering, classification, and summarization of Web data
Opinion mining and sentiment analysis
Multimodal data mining
Data, entity, event, and relationship extraction
Sense and entity disambiguation
Data integration and data cleaning
Discovery-driven Web and social network mining
Traffic and log analysis
Algorithms and systems for Web-scale mining
Knowledge acquisition and automatic construction of knowledge bases
Modeling trustworthiness and reliability of online information
Bridging unstructured and structured data
Social Search and Mining
Social network analysis, theories, models, and applications
Social media analysis: blogs and friendship networks
Influence spreading and viral marketing in social networks
Social reputation, influence, and trust
User profiling and recommendation systems
User activity modeling and exploitation
Tags, users, and search
Link prediction and community detection
Collaborative search and question answering
Searching social media and collaboratively generated content
Human computation and crowdsourcing
Mining crowd-generated data
Crowd engagement mechanisms and motivations