The 11th ACM International Conference on Web Search and Data Mining (WSDM 2018)

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 search

• Mobile search

• Multimedia Web search

• Query analysis and query processing

• Retrieval and ranking

• 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

• Bridging unstructured and structured data

• Clustering, classification, and summarization of Web data

• Data, entity, event, and relationship extraction

• Data integration and data 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

• Opinion mining and sentiment analysis

• Web traffic and log analysis

• Web measurements, web evolution and web models

• Web recommender systems and algorithms

• Mobile Mining

Social Search, Mining and Applications

• Collaborative search and question answering

• Dynamics of social networks

• Human computation and crowdsourcing

• Influence spreading and viral marketing in social networks

• Instant messaging and social networks

• Link prediction and community detection

• Location-based social networks

• Mining crowd-generated data

• Sampling, experiments, and evaluation in social networks

• Searching social media and collaboratively generated content

• Social media analysis: blogs and friendship networks

• Social network analysis, theories, models, and applications

• Social reputation, influence, and trust

• Tags, users, and search

• User activity modeling and exploitation

• User profiling

Finally, this year we also encourage submissions in the following areas:

• Machine learning and deep networks for web search and data mining

• Personal assistants, dialogue models and conversational interaction

• Web search and data mining under privacy constraints