problemsimilar
problemsimilar is a concept used in information retrieval and education platforms to quantify the similarity between programming contest problems. It seeks to identify related problems by comparing statements, constraints, inputs and outputs, and examples, facilitating recommendations, deduplication, and coherent problem sets.
Key aspects of problemsimilar include textual similarity of problem statements, structural similarity of input/output specifications and
Common methods combine multiple signals: textual representations such as TF-IDF or neural embeddings; structural features from
Applications include automatic suggestion of related problems to learners, curated problem sets, detection of duplicate or
Evaluation typically relies on correlation with human judgments, using metrics such as cosine similarity or ranking