Conference Information
SIGIR 2018 : International Conference on Research and Development in Information Retrieval
Submission Date:
Notification Date:
Conference Date:
Ann Arbor, Michigan, USA
CCF: a   CORE: a*   QUALIS: a1   Viewed: 56114   Tracked: 108   Attend: 9

Conference Location
Call For Papers
SIGIR 2018 will follow a new track-based reviewing structure.  Relevant topics include, but are not limited to topics in the following six tracks:

Search and Ranking.  Research on core IR algorithmic topics, including IR at scale.

    Queries and Query Analysis (e.g., query intent, query understanding, query suggestion and prediction, query representation and reformulation, spoken queries).

    Web Search (e.g., ranking at Web scale, link analysis, sponsored search, search advertising, adversarial search and spam, vertical search).

    Retrieval Models and Ranking (e.g., ranking algorithms, learning to rank, language models, retrieval models, combining searches, diversity and aggregated search).

    Efficiency and Scalability (e.g., indexing, crawling, compression, search engine architecture, distributed search, metasearch, peer-to-peer search, search in the cloud).

Foundations and 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.

    Theoretical models and foundations of information retrieval and access.

    Novel approaches to IR (e.g., as part of a vision for important future IR scenarios)

    Ethics, Economics, and Politics (e.g., studies on ethical views and implications, economic value, political impact).

    IR with new devices (e.g., consumer devices, wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles).

Domain-Specific Applications. Research focusing on domain-specific IR challenges.

    Local and Mobile Search (e.g., location-based search, mobile usage understanding, mobile result presentation, audio and touch interfaces, geographic search, location context in search).

    Social Search (e.g., social networks in search, social media in search, blog and microblog search, forum search).

    Search in Structured Data (e.g., XML search, ranking in databases, desktop search, email search, entity-oriented search).

    Multimedia Search (e.g., image search, video search, speech and audio search, music search).

    Education (e.g,. search for educational support, peer matching, info seeking in online courses/MOOCs).

    Legal (e.g., e-discovery, patents, other applications in law).

    Health (e.g., medical, genomics, bioinformatics, other applications in health).

    Other Applications and Specialized Domains (e.g., digital libraries, enterprise, expert search, news search, app search, archival search, new retrieval problems including applications of search technology for social good).

Content Recommendation, Analysis and Classification.  Research focusing on recommender systems, rich content representations and content analysis.

    Filtering and Recommending (e.g., content-based filtering, collaborative filtering, recommender systems, recommendation algorithms, zero-query and implicit search, personalized recommendation).

    Document Representation and Content Analysis (e.g., summarization, text representation, linguistic analysis, readability, NLP for search applications, cross- and multi-lingual search, information extraction, opinion mining and sentiment analysis, clustering, classification, topic models).

Artificial Intelligence, Semantics, and Dialog.  Research bridging AI and IR, especially toward deep semantics and dialog with intelligent agents.

    Question Answering (e.g., factoid and non-factoid question answering, interactive question answering, community-based question answering, question answering systems).

    Conversational systems (e.g., conversational search interaction, dialog systems, spoken language interfaces, intelligent chat systems).

    Semantics (e.g., semantic search, knowledge graphs)

    AI (e.g., deep learning for IR, embeddings, intelligent personal assistants and agents)

Human factors and interfaces.   Research into user-centric aspects of IR including user interfaces, behavior modeling, privacy, interactive systems, and evaluation.

    Mining and Modeling Search Activity (e.g., user and task models, click models, log analysis, behavioral analysis, modeling and simulation of information interaction, attention modeling).

    Interactive Search (e.g., search interfaces, information access, exploratory search, search context, whole-session support, proactive search, personalized search).

    Evaluation (e.g., user studies, test collections, experimental design, effectiveness measures, session-based evaluation, user engagement).

    Searching Socially (e.g., collaborative search, social tagging, crowdsourcing)

    Information Security (e.g., censorship, privacy, encryption, security in IR)
Last updated by Xin Yao in 2017-08-21
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