Sentence embeddings
A text representation method that encodes an entire sentence into a dense vector using a pretrained language model. Sentences with similar meanings are closer together in the vector space, and the vectors are typically 384-dimensional.
Timeline (last 90 days)
TF-IDF uses the title plus up to 1,500 characters of the description, while the sentence vectors use the title plus up to 1,000 characters of the description.
Similar Issue search works by generating a normalized sentence vector for each stored Issue, computing and ranking the cosine similarity between a new report and them, and returning the five most similar ones along with their original GitHub links.
All Facts (2)
TF-IDF uses the title plus up to 1,500 characters of the description, while the sentence vectors use the title plus up to 1,000 characters of the description.
50%UnverifiedSimilar Issue search works by generating a normalized sentence vector for each stored Issue, computing and ranking the cosine similarity between a new report and them, and returning the five most similar ones along with their original GitHub links.
50%