CIKM 2010 will take place in Toronto, Canada. Since 1992, the ACM
Conference on Information and Knowledge Management (CIKM) has
successfully brought together leading researchers and developers from the
database, information retrieval, and knowledge management communities.
The purpose of the conference is to identify challenging problems facing
the development of future knowledge and information systems, and to
shape future research directions through the publication of high quality,
applied and theoretical research findings. In CIKM 2010, we will continue
the tradition of promoting collaboration among multiple areas. We
encourage submissions of high quality papers on all topics in the general
areas of databases, information retrieval, and knowledge management.
Papers that bridge across these areas are of special interest and will be
considered for a "Best Interdisciplinary Paper" award.

The ACM Conference on Information and Knowledge Management
(CIKM) provides a leading international forum for presentation and
discussion of research on information and knowledge management, as well
as recent advances on data and knowledge bases. CIKM also has a strong
tradition of workshops devoted to emerging areas of database management,
IR, and related fields such as Web Information and Knowledge
Managment. Workshops vary from year to year.

Conference Themes

CIKM 2010 topics are in the broad areas of Databases, Information
Retrieval, and Knowledge Management. CIKM 2010 also includes an
Industry track. Each area is organized into tracks:

• Citation Analysis, Social Networks for IR
• Domain-specific IR (e.g., Legal IR, Genome, Mobile IR, IR for
  chemical structures)
• Filtering (e.g., Routing, Collaborative filtering, Topic tracking,
  Recommender systems)
• Foundation of Information Retrieval (e.g., theory, ranking)
• IR Architectures, Scalability and Efficiency
• IR Evaluation
• Language Specific IR (Multi-lingual, Cross-lingual, NLP, Question
  and Answer)
• Machine Learning for IR
• Multimedia IR (Audio, Speech, Video, Image)
• Semi-Structured Information Retrieval
• Distributed IR, Peer to Peer Search
• User Modeling for IR, Search Personalization
• Web Search, Advertising, Adversarial
• Other topics related to IR (Privacy, Spam, Feature Engineering, et.
  al.)

• Access methods and indexing
• Authorization, data privacy and security
• Concurrency control and recovery
• Data adaptability, reusability and quality
• Database languages and models
• Information integration, data provenance, probabilistic databases
• Mobile databases and distributed data management
• Peer-to-peer, parallel and distributed databases
• Query processing, optimization and performance
• Real-time and active databases
• Scientific and biological databases
• Semantic Web
• Semi-structured data processing, XML filtering and routing
• Stream-based processing and network databases
• String Databases, Blogs and Social Search
• Systems, middleware, applications and experiences
• Temporal, spatial and multimedia databases
• User experience: languages, models, interfaces

• Advertising and Optimization
• Classification and Clustering
• Data pre- and post-Processing
• Information Extraction
• Information Filtering and Recommender Systems
• Knowledge Synthesis and Visualization
• Large-scale statistical techniques
• Link and Graph Mining
• Semantic Techniques
• Temporal and Spatial data Mining
• Text Mining

• Industrial Practice and Experience
• Technology for Developing Regions