WSDM 2019 - 12th ACM International Conference on Web Search and Data Mining

SDM (pronounced "wisdom") is one of the premier conferences on web-inspired research involving search and data mining. The 12th ACM International WSDM Conference will take place in Melbourne, Australia during Feb. 11-15, 2019.
WSDM is a highly selective conference 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.
Original 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.
List of Topics
Topics covered include but are not limited to:
Web Search
Adversarial search
Algorithms and systems for Web-scale search
Audio and touch interfaces to search
Distributed search, metasearch, peer-to-peer search
Indexing web content
Local and mobile search
Multimedia Web search
Query analysis and query processing
Search benchmarking and evaluation
Search user behavior and log analysis
Search user interfaces and interaction
Searching social and real-time content
Semantic search, faceted search, and knowledge graphs
Sponsored search
Task-driven search
Vertical portals and search
Voice search, conversational search, and dialog in search
Web crawling
Zero-query and implicit search
Web Mining
Algorithms and systems for Web-scale mining
Clustering, classification, and summarization of Web data
Data, entity, event, and relationship extraction
Data extraction, integration and cleaning
Discovery-driven Web and social network mining
Geo and location data analysis
Knowledge acquisition and automatic construction of knowledge bases
Large-scale graph analysis
Modeling trustworthiness and reliability of online information
Multimodal data mining
NLP for Web mining
Online and streaming algorithms for Web data
Opinion mining and sentiment analysis
Web traffic and log analysis
Web measurements, web evolution and web models
Web recommender systems and algorithms
Mobile Mining
Neural architectures for Web search and mining
Web search and data mining under privacy constraints
Social Search, Mining and Other Applications
Personal assistants, dialogue models, and conversational interaction
Collaborative search and question answering
Social network dynamics
Human computation and crowdsourcing
Influence and viral marketing in social networks
Instant messaging and social networks
Link prediction and community detection
Location-based social networks
Searching and mining crowd-generated data and collaboratively generated content
Sampling, experiments, and evaluation in social networks
Social media analysis: blogs and friendship networks
Social network analysis, theories, models and applications
Social reputation, influence, and trust
Social tagging
User activity modeling and exploitation
Interpretable models of individual and social behavior
Authors are explicitly discouraged from submitting papers that do not clearly present their contribution with respect to previous works, that contain only incremental results, and that do not provide significant advances over existing approaches.