Topics of interest to the SISAP community include (but are not limited to) the following:

    Similarity
        Similarity queries (k-NN, range, reverse NN, top-k, Approximate and/or precise solutions, etc.)
        Similarity measures (for vectors, graphs, structures, time series, complex data, tensors, secondary similarity, etc.)
        Similarity operations (joins, ranking, classification, categorization, filtering, etc.)
    Scalability
        Indexing and access methods for similarity-based processing
        High-performance/large-scale similarity search (distributed, parallel, etc.)
        Data management (transaction support, dynamic maintenance, etc.)
    Theory
        Models of similarity
        Intrinsic dimensionality and Curse of dimensionality
        Discriminability and contrast
        Languages for similarity databases
        Manifolds and subspaces
    Analytics, Learning, Artificial Intelligence
        Feature selection and extraction for similarity search
        Representations learning for feature extraction
        Visual analytics for similarity-based operations
        Learning/adaptive similarity measures
        Similarity in learning and mining
        Merging/combining multiple similarity modalities
    Evaluation
        Evaluation techniques for similarity queries and operations
        Cost models and analysis for similarity data processing
        Performance studies and comparisons
        Test collections and benchmarks
    Applications
        Multimedia retrieval systems
        Dense retrieval
        Vector databases
        Similarity search in emerging data domains
        Applications of similarity-based operations
        Industrial applications and case studies
        Similarity search cloud services
        Security and privacy of in similarity search
        Similarity for forensics and security