TOPICS OF INTEREST

The topics of SIGIR-AP are the same as those of SIGIR. Relevant areas include but are not limited to:

Search and Ranking:
Research on core IR concepts, principles, and algorithms:

    Queries and query analysis
    Web search
    Retrieval model
    Ranking model
    Theoretical models and foundations of information retrieval and access

System, Efficiency, and Scalability:
Research on system aspects related to the efficiency and scalability of IR systems:

    Efficient and scalable indexing
    Energy efficiency and green computing for IR
    Search engine architecture
    Distributed search, edge IR

Recommender Systems:
Research on recommender systems:

    Filtering and recommendation
    Cross-domain recommendation
    Novel approaches to recommendation
    Interactive and conversational recommendation
    Evaluation of recommender systems
    Other theoretical models and foundations of recommender systems

Machine Learning and NLP for IR:
Research that bridges ML, NLP, and IR:

    Core ML applied to IR
    Large Language Models for IR
    Retrieval Augmented Machine Learning
    Question answering

Conversational IR:
Research on developing intelligent IR systems that support interactive conversations with users:

    End-to-end conversational IR models and optimization
    Modularized IR techniques (e.g., query understanding, user modeling, intent prediction, context and discourse management, reranking, and results presentation)
    Session based search or recommendation, user engagement
    Conversational question answering
    Spoken language interfaces
    Intelligent personal assistants and agents

Humans and Interfaces:
Research on user-centric aspects of IR, including user interfaces, behavior modeling, privacy, and interactive systems, such as:

    Mining and modeling users
    User simulation
    Interactive search
    Social search
    Collaborative search
    Information security
    User studies
    Other theoretical models and foundations of user-centric IR

Evaluation:
Research on the measurement and evaluation of IR systems, such as:

    User-centered evaluation
    System-centered evaluation
    Beyond Cranfield
    Beyond labels
    Beyond effectiveness
    Novel methodology for evaluation

Fairness, Accountability, Transparency, Ethics, and Explainability (FATE) in IR:
Research on FATE aspects and biases in IR:

    Fairness, accountability, transparency
    Ethics, economics, and politics
    Two-sided search and recommendation scenarios
    Personal safety

Multimodal IR:
Research that bridges the domain of multimedia and IR, such as:

    Multimedia search
    Multimedia recommendation
    Multimodal for IR

Domain-specific Applications:
Research on domain-specific IR problems and challenges, such as:

    Local and mobile search
    Social search
    Search in structured data
    Education
    Legal
    Health
    Other applications and domains

Other IR Topics:
Research on any IR-related research that does not belong to any of the areas above, such as:

    Explicit semantics
    Knowledge acquisition
    Knowledge representation and reasoning
    Document representation and content analysis