Call for papers 2020

 

CIRCLE 2020 | Joint Conference of the Information Retrieval Communities in Europe

July 6-9, 2020, Samatan, Gers, France

 

Call for Contributions

  SCOPE CIRCLE 2020 arose from a twofold wish to gather three national Information Retrieval (IR) conferences and to offer young researchers the opportunity to meet and discuss with senior researchers. CIRCLE is supported by the ARIA French conference (CORIA, COnférence en Recherche d’Information et Applications), the Spanish Conference on Information Retrieval (CERI, Congreso Español de Recuperación de Información), the Italian Information Retrieval Workshop, and the Swiss IR community. The main objective of CIRCLE 2020 is to propose a unique place for stimulating and disseminating research in IR, where senior/industrial and early stage researchers (including MSc and PhD students) can network and discuss their research results in a friendly environment.  CIRCLE 2020 will take place on July 6-9, 2020 at Samatan, Gers, south of France (50 minutes  from Toulouse). More information at https://www.irit.fr/CIRCLE/ Participation in CIRCLE 2020 will be low fare charged.  IMPORTANT DATES

  • 10 February 10 March 2020: Intention of submission (title and short abstract)
  • 28 February 15 March 2020: Deadline for long paper submission
  • 20 March 2020: Deadline for short papers and demos submissions
  • 30 April 2020: Long paper, short paper, and demos notifications
  • 29 May 2020: Deadline for camera-ready papers

TOPICS CIRCLE 2020 offers an opportunity to present and discuss both theoretical and empirical research. Relevant topics include, but are not restricted to:

  • Search and ranking. Research on core IR algorithmic topics, including IR at scale, covering topics such as:
    • Queries and query analysis
    • Web search, including link analysis, sponsored search, search advertising, adversarial search and spam, and vertical search
    • Retrieval models and ranking, including diversity and aggregated search
    • Efficiency and scalability
    • Theoretical models and foundations of information retrieval and access
  • Content analysis, recommendation and classification. Research focusing on recommender systems, rich content representations and content analysis, covering topics such as:
    • Filtering and recommender systems
    • Document representation
    • Content analysis and information extraction, including summarization, text representation, readability, sentiment analysis, and opinion mining
    • Cross- and multilingual search
    • Clustering, classification, and topic models
    • IR and natural language processing
  • Domain-specific applications. Research focusing on domain-specific IR challenges, covering topics such as:
    • Social search
    • Search in structured data including email search and entity search
    • Multimedia search
    • Education
    • Legal
    • Health, including genomics and bioinformatics
    • IR and digital libraries
    • IR and databases
    • Other domains such as enterprise, news search, app search, archival search
  • Artificial intelligence, semantics and dialog. Research bridging AI and IR, especially toward deep semantics and dialog with intelligent agents, covering topics such as:
    • Question answering
    • Conversational systems and retrieval, including spoken language interfaces, dialog management systems, and intelligent chat systems
    • Semantics and knowledge graphs
    • Deep learning for IR, embeddings, and agents
  • Human factors and interfaces. Research into user-centric aspects of IR, including user interfaces, behavior modeling, privacy, and interactive systems, covering topics such as:
    • Mining and modeling search activity, including user and task models, click models, log analysis, behavioral analysis, and attention modeling
    • Interactive and personalized search
    • Collaborative search, social tagging and crowdsourcing
    • Information privacy and security
  • Evaluation. Research that focuses on the measurement and evaluation of IR systems, covering topics such as:
    • User-centered evaluation methods, including measures of user experience and performance, user engagement and search task design
    • Test collections and evaluation metrics, including the development of new test collections
    • Eye-tracking and physiological approaches, such as fMRI
    • Evaluation of novel information access tasks and systems such as multi-turn information access
    • Statistical methods and reproducibility issues in information retrieval evaluation
  • Future directions. Research with theoretical or empirical contributions on new technical or social aspects of IR, especially in more speculative directions or with emerging technologies, covering topics such as:
    • Novel approaches to IR
    • Ethics, economics, and politics
    • Applications of search to social good
    • IR with new devices, including wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles

SUBMISSIONS For the common track, submissions must be in English and in PDF using the current ACM two-column conference format. Suitable LaTeX, Word, and Overleaf templates are available from the ACM Website (use the“sigconf”proceedings template). The conference language for this track will be English. Submission will be peer reviewed by at least 3 reviewers in a double blind process by the CIRCLE common program committee. Submission will be through Easychair at https://easychair.org/my/conference?conf=circle2020. The proceedings will be sent to CEUR-WS.org for online publication. Papers may range from theoretical work, experimental research, to system and project descriptions. Authors are invited to submit one of the following types of contributions:

  • Long original papers (from 6 to 8 pages + 1 page for references)
  • Short original papers (from 3 to 4 pages + 1 page for references) 
  • Extended abstracts containing descriptions of ongoing projects or presenting already published results (up to 2 pages)

While long papers (max. 8 pages plus up to 1 page for references) describe mature and original research results, short papers (max. 4 pages plus up to 1 page for references) typically discuss exciting new work that is not yet mature enough for a long paper, such as for example “doctoral papers”. In particular, novel but significant proposals will be considered for acceptance into this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation. Extended abstracts (max. 2 pages) may include a system demonstration, a project presentation, an already published piece of work  (e.g. in a top level IR journal or conference). Extended abstracts should be submitted as non–anonymous. Applications of information retrieval to novel areas are especially welcome. Intention to submit (title and short abstract) will be used for reviewers to bid on papers. Each accepted paper will be included in the conference proceedings and orally presented. There will be also CERI submissions: the Spanish Conference on Information Retrieval will organize sessions with oral presentations in Spanish for certain papers written in either Spanish or English. Special interest will be devoted to papers on applications with municipal, regional or national impact in Spain, collaborations from Spanish institutions and companies, or using corpuses in Spanish. Short original papers or extended abstracts are allowed. Note: as in previous editions of CERI, defended thesis from June 2018 to May 2020 could qualify for the SERI Award to the best Spanish PhD dissertation in IR. Details will be given by the Spanish IR association, http://seri.org.es