ICTIR 2015 - ACM SIGIR International Conference on the Theory of Information Retrieval

The International Conference on the Theory of Information Retrieval (ICTIR) aims to provide a forum for discussion and interaction among those with theoretical and applicative research interests in mathematical/formal aspects of Information Retrieval (IR), including, for example, foundational issues, description or integration of models, retrieval applications, mathematical/formal techniques, existing and/or new theories and theoretical aspects.
The fourth ICTIR conference aims to continue in the same spirit, promoting research in the wider contexts of IR. Accordingly, in addition to the established fields and approaches in IR, research papers on new approaches (e.g., those inspired by other disciplines) are sought. Papers that demonstrate a high level of research adventure or which break out of the traditional IR paradigms are particularly welcome. Experimental and/or practical results, or any other means (including theoretical) that give support for innovative hypotheses are of interest.
Indicative topics of interest
METHODS/PARADIGMS
Vector-Space-based Models
Probabilistic Models
Logic-based Models
Information-Theoretic Models
Relevance-Feedback-Based Approaches
Machine Learning Methods (e.g., learning to rank)
Quantum Theory-inspired Methods
Natural Language Processing
Semantics-based Methods
Architectures, Algorithms and Complexity
TASKS
Retrieval (e.g., ad hoc, Web, enterprise , desktop, mobile, expert, cross-lingual, blog, legal, biomedical, book, federated, vertical, etc.)
Interactive Search
Forming Test Collections and Devising Evaluation Metrics
Bibliometrics and Citation Analysis
Experimentation
Recommendation
Search in Digital Libraries
Search in the Semantic Web
Classification, Categorization, and Clustering
Topic Modeling
Filtering (collaboratve, content-based, etc.)
Summarization
Data Mining
Evaluation methodologies, test collections, metrics
MEDIA
Text
Images
Video
Music, Speech and Sound
Human Gestures (e.g. eye movement)
Unstructured, Semi-Structured, and Structured DataWeb IR
USERS
User Modelling
Personal Interest Identification
Query Intent Identification
Contextual Search Issues
Social Networks and Media Tagging
Evaluation using User Studies
Human-Computer Interaction Issues