ICTIR 2016 - 2016 ACM SIGIR International Conference on the Theory of Information Retrieval

The ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) provides a forum for the presentation and discussion of research related to the foundational aspects of Information Retrieval (IR), including, for example, new or improved models of relevance, ranking, representation, information needs, and evaluation. A foundation is a scientific result that others can build upon and use for their own research. This might be a theoretical result, or a reproducible experimental result. The need for formal frameworks is universal across the many applications of information retrieval. In addition to foundational research into established approaches in IR, the conference encourages the submission of papers that are attempting to define new tasks, develop new search paradigms, or apply methods from related disciplines, such as natural language processing, machine learning, statistics, or quantum mechanics. Large-scale experimental studies are not required for ICTIR papers, although some evidence in support of new theories is expected. However, reproducibility of research results is emphasized (e.g., through sharing the data sets and/or software implementations).
Topics
With an emphasis on reproducibility and appreciation of theoretical work, the topic areas covered by ICTIR include, but are not limited to:
Document Representation and Content Analysis
E.g., text representation, linguistic analysis, sentiment analysis, clustering, multilinguality
Queries and Query Analysis
E.g., query representation, query intent, question answering, query reformulation
Users and Interactive IR
E.g., user models, formal models of user interactions, summarization, task models, personalized search, collaborative IR
Retrieval Models and Ranking
E.g., probabilistic retrieval models, feature-based models, learning to rank, diversity, context-awareness, multidimensional relevance
Search Engine Architectures and Scalability
E.g., indexing methods, optimization
Filtering and Recommending
E.g., content-based filtering, collaborative filtering
Evaluation
E.g., effectiveness measures, experimental design
Web IR and Social Media Search
E.g., link analysis, social network analysis
IR and Structured Data
E.g., entity search, semantic search
Multimedia IR
E.g., image search, video search, music IR
Other Applications
E.g., genomics IR, legal IR, patent search, social media search